Udacity Institute of AI & Technology

Majd Sakr is a Professor in the School of Computer Science at Carnegie Mellon University, where his research focuses on workforce training, learning analytics, and cloud computing. He is also the Chief Learning and Research Officer at Accenture and Accenture LearnVantage, leading global efforts in workforce training, learning innovation, and research.

Kai is driven to accelerate global transformation through technology and AI education that empowers people and organizations to reach their highest potential.

As Senior Managing Director at Accenture LearnVantage, he continues to lead Udacity as CEO following the acquisition and he is leading the charge to position LearnVantage as the leading corporate upskilling company. Before joining Udacity, Kai co-founded the Bertelsmann Education Group, a strategic business unit of the German media and services conglomerate. Earlier, he played a key role in the merger and integration of Random House and Penguin Group, two of the world’s largest publishing houses.

Web Developer skilled in developing web applications using JavaScript, jQuery, React and Angular. Mentor and Session Lead for students at Udacity. Doctor support volunteer at Project StepOne.

I am skilled in cutting-edge technologies like jQuery, React, and Angular. Through Udacity Nanodegrees, I built wonderful, challenging projects. I made use of libraries and frameworks through a thorough study of their documentation. I won the Project Completion Challenge in my Front-End Web Developer Nanodegree II, where I had to complete projects within a given deadline and put motivating posts on them on social media.

As an engineering student, I have worked on projects end to end projects involving Cricket Auction application and implementing an e-commerce-based research paper. I have also contributed to an open-source project.

In my tenure at Comviva, I closed the gap between Design prototypes and the application whilst improving the UI performance, and experience and reducing a large part of the codebase. I revamped an entire application from legacy code to a high-performing Angular application. I made a reusable UI component that is used by developers outside my team. I developed the entire front end of a vital, key feature of a product from scratch.

I was allowed to beta test a Nanodegree and was fortunate to be selected as a mentor for the same. Through mentoring students, I enjoy my desire to teach and as an added benefit, I actively learn new concepts of JavaScript which would serve as a base for me to learn and apply new frontend technologies and frameworks. I was selected as a Session Lead in the OLX scholarship, which has allowed me to conduct engaging sessions to help them achieve their weekly goals.

In my current role at Marrow, I oversaw the rewrite of internal applications from Angular JS to Angular with improved user experience. I also enforced clean architecture, code standards, and best practices for high crash-free rates. I won the Kansha award for the quarter of April-June 2023.

With 15 years of software engineering management experience, I specialize in turning business ideas into enterprise-level web

applications that meet high standards in quality, time, and budget. My success lies in active listening, requirement analysis, and leveraging

the right architecture and design patterns. As a change agent, I stay up-to-date on emerging technologies, adopting those that align with

business needs. I design policies for agile workflows, versioning, and application security, and my MBA enables me to bridge the gap with

non-technical stakeholders. Passionate about team development, I lead training and code reviews to ensure consistent excellence.

Currently, I’m exploring AI, computer vision, and RAG to drive further innovation in our solutions.

Published researcher and UNESCO-certified trainer, passionate about leveraging technology and education in cutting-edge fields like Machine Learning and Cybersecurity with expertise in MS SQL and Cloud Management. With over 10 years of experience as a certified IT professional, I specialize in system administration, network management, and development using Python, C++, and C. Currently working as an Assistant Lecturer, focusing on AI and Cybersecurity, with expertise in VMware, Odoo development, Microsoft 365, Power BI, and Cisco systems.

Currently a UX Consultant at Singapore's Government technology department for citizens and agencies information services and platforms.

Specialising in driving user-centered design transformations across diverse industries with proven expertise in leading end-to-end UX initiatives. Career highlights include:

• Leading the UIUX for Singapore's first IoT Energy Management Platform, enabling over 40% energy savings for platform users such as Banks, major hotel chains and data centres

• Transformed Singapore's largest telecommunications contracting process into a digital contracting platform resulting in an increase of 9% to 15% on re contracting orders and a 30% decrease in customer s time spent within the first month of launch

An ML professional and digital hardware engineer who bridges deep learning with high-performance silicon. He is a Digital Display Interface ASIC Design Engineer at Qualcomm, where he helps architect, implement, and verify DisplayPort/HDMI/MIPI DSI IP for Snapdragon SoCs. Previously, at Synopsys, he designed and verified high-speed PCIe 6.x PHYs and SerDes used in AI/ML compute systems. Beyond industry, Hazem leads AI/ML cohorts with Udacity, mentoring hundreds of learners worldwide across programs such as the AWS AI & ML Scholarship. He also served as a Graduate Teaching Assistant at McMaster University, where he led the school’s first Reinforcement Learning Hackathon. He holds an M.A.Sc. in Electrical & Computer Engineering from McMaster and a B.A.Sc. from Nile University, with publications in hardware-efficient reinforcement learning. Honors include 1st Place nationally at Dell HackTrick 2023 and the Dr. William F. Kennedy Graduate Fellowship.

Data/AI Engineer with 10+ years of professional experience in Telecom, Banking, and Open Source industries. I am experienced with Python, Go, Java, and JS/TS, both in private and public clouds (AWS, Azure). I am passionate about transitioning legacy solutions to modern data architectures on private, public & hybrid clouds, with a proven track record of leading technical teams doing so!

Senior Software Engineer and iOS Consultant with over 10 years of professional experience in designing, developing, and leading high-scale mobile applications. Currently working with Deloitte as a Senior iOS Software Consultant, contributing to major UK and international clients, including airline and retail platforms. Served as an iOS Session Lead for Udacity’s iOS Developer Nanodegree, mentoring learners through structured technical sessions and real-world project guidance. Strong expertise in Swift, SwiftUI, mobile architecture, performance optimization, and technical leadership, with a proven record of delivering high-quality, scalable solutions and mentoring engineering teams.

My work experience has encompassed a variety of Computer Science fields. I have been a Machine Learning programmer since my college days, working on CART problems, Deep Learning Models and Data Analysis from 2017, and since then I have experienced AI becoming mainstream and a part of everyday lives. My head start helped me stay ahead of the competition.

I leveraged my knowledge and experience first as a Machine Learning Intern and then a Software Developer for 2 of the biggest MNCs: Wipro and F5 Networks. My work has encompassed a variety of highly technical fields that include scalable consumer applications, bot detection algorithms, Computer Vision applications, Database administration ,DevOps and cloud deployments.

My intern company made sure I join them full time just after a month of the 3 month duration. I have been promoted 1 year ahead of schedule at my first job.

My colleagues trust me to handle the most complex of tasks and therefore I have had great responsibility handed to me. My attitude to always keep learning and eagerness to explore the next big thing in technology has always helped me be a highly skilled and capable Software Engineer who can delve into any field and solve any kind of problems.

My other experiences include hosting a TEDx event, being awarded with quarterly excellence award twice in a row while at Wipro and multiple shout outs from my colleagues appreciating my assistance at F5.

My name is Mona, and I am a Senior UI/UX Designer and Web Developer with a proven track record of delivering user-centered, scalable, and high-performing digital solutions. My expertise lies in bridging the gap between design and development, ensuring every product I work on is both intuitive and technically sound. Alongside my professional work, I’ve served as a mentor to over 2,000 learners in web development and UX design, helping aspiring professionals gain industry-ready skills and launch their careers. I’m recognized for leading cross-functional teams, introducing design strategies that enhance performance, and creating impactful digital experiences. I’m passionate about driving innovation at scale, leading projects that merge creativity with functionality, and continuing to mentor the next generation of designers and developers.

Hi there! I’m Rashmi. My journey into the world of machine learning has been a thrilling ride fueled by my passion for technology and its ability to transform lives. I still remember the moment I realized how AI could streamline processes and enhance decision-making—it was like a light bulb went off! Since then, I’ve dedicated my career to crafting intelligent systems that genuinely make a difference across various sectors.

At PEI, I had the opportunity to develop advanced machine learning pipelines on Databricks that enhanced decision-making efficiency by 30% within just three months. This experience taught me not only about technical skills but also about how impactful our work can be when we truly understand the needs of our users. Before that at Narvar, I designed a state-of-the-art Transformer-based model that improved ETA prediction accuracy by 25%, significantly enhancing customer delivery expectations.

Mentoring is another passion of mine. As part of the KaggleX BIPOC Mentorship program, I guided two participants through their projects while contributing to discussions on linguistic challenges at the ICLR 2023 Conference. It’s incredibly rewarding to help others navigate their paths in tech while sharing what I've learned along the way.

When I'm not immersed in code or mentoring aspiring data scientists, you might find me exploring new technologies or volunteering for local tech initiatives. I believe in giving back to the community as much as possible because it's important to uplift those around us.

If you're interested in discussing machine learning innovations or collaboration opportunities—whether it’s about LLMs or just sharing insights over coffee—feel free to reach out via email!

Lead Machine Learning Engineer with a multidisciplinary background and a strong focus on delivering scalable, impact-driven AI solutions. Experienced in guiding cross-functional teams and integrating advanced analytics into strategic business contexts. Specialized in applying Generative AI and LLMs to solve complex challenges across industries, with a proven track record in managing international, high-value projects and driving operational efficiency through data-driven innovation.

I have more than 13 experience in development , programming and mentoring students in different fields I worked on different corporate with scattered businesses in medical , financial , e-commerce and medical secto.

I am an AI Supervisor at Valify Solutions, where I lead a diverse team of 12 engineers (juniors, mid-levels, and seniors) and drive the company’s machine learning strategy. My work focuses on building and improving end-to-end AI pipelines—such as face match, face liveness, OCR, and document intelligence—while ensuring they are production-ready through strong MLOps practices. Over the years, I’ve gained extensive experience in computer vision, NLP, reinforcement learning, and large-scale ML systems, delivering solutions that combine research innovation with real-world impact. I am also passionate about mentoring engineers, helping them grow their skills, and aligning our work with business goals. In addition to my industry role, I serve as a session lead at Udacity, where I support learners worldwide in their AI journeys.

I am a graduate of the University of Michigan’s Informatics and Computer Science programs and hold an MBA from the Leeds School of Business at the University of Colorado Boulder. My academic foundation blends technical depth with strategic business acumen, giving me a strong understanding of how data, usability, and engineering practices drive organizational value.

With a professional background spanning web analytics, software engineering, and project management, I have built and supported scalable systems across multiple technology stacks. I develop full-stack applications using React.js, Next.js, Node.js, Java, and Python, and implement serverless endpoints, AWS services, and automated deployments with Terraform. My experience also includes integrating authentication systems like Okta, as well as conducting comprehensive unit and end-to-end automation testing.

Outside my core development work, I conduct interactive online classes for Udacity’s Nanodegree programs, teaching subjects such as Front-End Web Development, Security and DevOps, Full-Stack Development, and Java Web Applications. I am passionate about mentoring adult learners and guiding them toward career advancement in technology. In my free time, I enjoy volunteering with the Humane Society, baking for the Cake4Kids charity, hiking with my dog, and exploring the evolving intersections of artificial intelligence and software development.

A performance-driven analytics professional with over seven years of experience in UAE, specialized in business intelligence, data analysis, and data management. Recognized for delivering smart, cost-effective data solutions for leading organizations such as DIEZ, ADNOC, and Etisalat.

Since 2023, serving as a mentor and instructor with Udacity’s Makeen program and a member of the HCT Industry Advisory Committee, contributing to the development of business analytics programs for HCT graduates.

+8 years of experience in C/C++ Embedded Linux and Embedded systems in Automotive and for leading multinational companies (Luxoft, eJad and Axxcelera Egypt)

+8 years of experience in teaching Instructor specializing in Embedded System/Embedded Linux for institutions such as NTI, AMIT, and EME ITEDA and others

• Delivered numerous Embedded System and Embedded Linux talks and also judging for various robotics competitions

I am a Cybersecurity Engineer with a passion for building secure systems and helping others understand how technology works safely. Over the past few years, I’ve worked as a Full-Stack Developer at Orange Innovation Egypt, taught and mentored students in cybersecurity and networking, and gained hands-on experience with secure APIs, cloud technologies, and network protection. I hold a Bachelor’s degree in Computer Science and AI from Cairo University and am currently pursuing a dual Master of Science in Cybersecurity at Eötvös Loránd University and the University of Trento through the EIT Digital program. My interests span ethical hacking, cloud security, and designing solutions that make technology both innovative and secure.

Majd Sakr is a Professor in the School of Computer Science at Carnegie Mellon University, where his research focuses on workforce training, learning analytics, and cloud computing. He is also the Chief Learning and Research Officer at Accenture and Accenture LearnVantage, leading global efforts in workforce training, learning innovation, and research.

I am a computer scientist with a strong background in artificial intelligence, machine learning, and software engineering. I earned my Master of Science in Computer Science from the University of Central Florida, and I am currently pursuing my Ph.D., focusing on large language models for Education. My professional experience spans both academia and industry. At Qorvo, I developed deep learning pipelines for predicting electrical component performance, created feature attribution and outlier detection tools, and coauthored internal publications due to the accuracy of my models. As a Graduate Research Assistant, I published peer reviewed work on AI based virtual companions that help adolescents with autism recognize cyberbullying. Moreover, I have worked on Representation Engineering of a Chess playing GPT. I have also worked as a Teaching Assistant across multiple computer science courses, supporting students in programming, discrete math, and foundational computing concepts. Currently, I serve as a MOVE Fellow with Handshake, where I design advanced computer science problems to evaluate multimodal reasoning in large language models. I lead Knights for Animal Rights as President, where I manage events, partnerships, and advocacy initiatives. My passion lies in bridging rigorous research with real world applications, particularly in advancing AI driven solutions that improve learning, reasoning, and accessibility.

Kai is driven to accelerate global transformation through technology and AI education that empowers people and organizations to reach their highest potential.

As Senior Managing Director at Accenture LearnVantage, he continues to lead Udacity as CEO following the acquisition and he is leading the charge to position LearnVantage as the leading corporate upskilling company. Before joining Udacity, Kai co-founded the Bertelsmann Education Group, a strategic business unit of the German media and services conglomerate. Earlier, he played a key role in the merger and integration of Random House and Penguin Group, two of the world’s largest publishing houses.

Moamen Abdelkawy is a Senior Economic Analyst at National Navigation Co. with over 15 years of experience bridging economics, data analysis, and machine learning. His expertise lies at the intersection of quantitative economics and maritime industry analytics, where he applies advanced econometric modeling and data science techniques to drive strategic decision-making.

With a strong foundation in both theoretical economics and practical data science applications, Moamen has established himself as an analytical polymath who transforms complex financial and economic data into actionable business intelligence. His intellectual curiosity and commitment to continuous learning have shaped a career characterized by innovation, technical excellence, and knowledge sharing.

A Senior Data Scientist and Agent Developer with over five years of experience, currently focused on orchestrating agentic systems and building guardrails. Beyond the code, I’m a Fulbright Scholar, an MBA candidate, and recently published at IEEE ISBI 2025. My interests are pretty broad; I love digging into Graph Neural Networks and quantum computing just as much as I enjoy analyzing academic research trends and the business mechanics of the Generative AI.

My name is Gilles Kepnang and I am a proponent of innovation. My most recent achievement is being nationally recognized in America's Who's Who list for 2025, with expertise in Patent Law for AI Inventions. For years, I have contributed to software projects, as well as obtained certifications from HackerRank and Codesignal. C++, Java, and Python are my languages of choice. My job experience includes roles such as patent agent, product manager, research engineer, and software engineer.

With more than 12 years of experience in digital marketing and over 8 years of experience as a marketing trainer and lecturer. My objective is to raise awareness for digital transformation urgency, help organizations transform digitally, and implement effective strategies and tactics for digital growth leadership. I hold a Master of Business Administration degree from Paris ESLSCA Business School, where I specialized in Global Marketing and Digital Transformation.  I leverage my expertise in Marketing Analytics to implement various tools and techniques, to ensure better data visualization and reporting and to make informed marketing decisions in my current role as Regional Digital Marketing Head at IDP Education.

Abdelrahman Ahmad is an AI researcher and computer vision engineer with a multidisciplinary background spanning aerospace engineering, machine learning, and autonomous systems. He graduated with a Bachelor of Science in Aerospace Engineering from Cairo University in 2017 and completed his military service in 2019 before beginning a Master’s degree in Flight Mechanics and Control. He successfully finished his pre-master’s coursework with a GPA of 3.4/4.

Driven by a growing passion for artificial intelligence, Abdelrahman transitioned into the AI field in 2021 by enrolling in the AI Professional Diploma, where he explored deep learning, computer vision, and machine learning fundamentals. During the program, he secured a Computer Vision Internship at AvidBeam Technologies, where he delivered a notable achievement: implementing a high-speed face recognition pipeline. For his diploma graduation project, he collaborated with Smart Eye, developing and training an object detection model entirely from scratch.

Impressed by his performance, AvidBeam offered him a full-time position. During his tenure, he contributed to several production-level vision systems, including scene text recognition, worker safety PPE detection, and face attribute analysis.

Seeking to expand his expertise in generative and 3D vision, Abdelrahman later joined Cyshield, where he worked on cutting-edge technologies such as diffusion models, flow matching, ControlNet, 3D Gaussian Splatting, and NeRF-based 3D reconstruction.

In parallel with industry work, Abdelrahman pursued academic research. He joined the American University in Cairo (AUC) as a part-time research assistant in autonomous vehicles, focusing on spatio-temporal modeling, contrastive learning, action detection, and reinforcement learning. He has submitted two research papers currently under review: one on pedestrian intention prediction and another on contrastive learning for model pre-training.

Academic Staff and Network Security Engineer with various knowledge of Security tools, technologies and best practices. Designing, Implementation, Administration, support and management for various Network Security solutions

Megha Jain is a digital marketing strategist and educator with 7+ years of experience driving growth for global brands through performance marketing, social media strategy, and content-led digital systems. She has led data-backed campaigns across diverse sectors including D2C, technology, healthcare, education, and real estate, working with brands such as Payal Zinal, Fuzia, Ion Heat, Floordeals UK, Heeposh, and Design Everest USA, along with several high-growth startups in India, the UK, and Canada.

Megha specializes in Meta Ads, LinkedIn marketing, and SEO-led content frameworks with a proven track record of managing seven-figure monthly budgets and launching over 1,000 high-performing campaigns. She currently works with a leading agency in Australia, and her prior industry experience includes two years with Design Everest in San Francisco. In 2023, she was invited to the Meta Headquarters for a two-day corporate leadership training program, which recognized her impact and expertise in digital media strategy.

Along with industry practice, Megha is deeply committed to education and mentorship. She has trained more than 25,000 students and professionals through live programs, university workshops, and mentorship platforms. She has taught at leading institutions such as Munjal University, JAIN University, Surana College, and Chitkara University, and has mentored learners on platforms including IIDE, Digital Scholar, UpGrad, Unacademy, MyCaptain, Unschool, Digital Vidya, Skill Academy by Testbook, Udacity, and Kraftshala.

A consistent academic achiever, Megha is a gold medalist in Economics Honours for all three years of her degree and a CBSE state topper in Class 12. Her approach to teaching combines creativity, consumer psychology, and analytics, making digital marketing practical, strategic, and industry relevant. She is known for simplifying complex marketing concepts into clear and actionable learning outcomes that enable students to apply skills in real business environments.

Megha continues to actively consult and teach, helping future marketers gain practical skills, build strategic thinking, and unlock global career opportunities in the digital economy.

As a Senior AI Engineer, Calvin Neo oversees AI projects, generating millions of dollars in value for diverse companies. Calvin is a dedicated mentor, having directly trained and guided over thirty AI apprentices and providing critical technical leadership to the wider AI engineering team.

I'm a B2C and B2B marketing leader with over 15 years of experience driving audience growth, demand generation, and digital transformation across insurance, e-commerce, retail, and agency environments.

I specialize in full-funnel digital marketing strategies — from performance marketing and SEO to conversion rate optimization, paid media, and lifecycle email campaigns. I've led the buildout of MarTech stacks, scaled high-performing teams, and delivered measurable revenue and acquisition growth through data-driven execution and strategic leadership.

Known for aligning cross-functional teams and turning complex problems into scalable solutions, I thrive at the intersection of creativity, analytics, and customer-centricity.

I am a technology professional with nearly a decade of experience in software engineering, specializing in building scalable solutions and driving innovation in emerging technologies. I hold a B.Tech and M.Sc in Artificial Intelligence, and I am currently pursuing an MBA from the Indian Institute of Foreign Trade, focusing on integrating technical expertise with business strategy.

My career journey spans for nearly a decade where I have worked extensively with cutting edge technologies, particularly in the domain of Gen AI, Agentic AI, Data Science. With a strong foundation in both technical development and strategic management, I aim to bridge the gap between advanced AI applications and real world business impact.

Samrat Banerjee is a digital transformation and urban development expert, with over six years of experience in managing and implementing innovative projects for GIZ.

As a seasoned ICT and Digitalisation Advisor, Samrat spearheads the Sustainable Urban Development-Smart Cities initiative, currently in its second phase. In this role, Samrat:

• Leads the end-to-end management of digital transformation and data innovation projects, from planning and design to execution and evaluation.

• Supports the project team and partners with data science and analytics, ensuring informed, evidence-based decision-making.

• Collaborates closely with partners and key stakeholders, offering expertise in digital innovations tailored to project requirements.

• Keeps the team updated on the latest trends and developments in urban innovation and disruptive technologies.

• Communicates innovations effectively to a broad target group, facilitating a seamless exchange of ideas and advancements.

Samrat is driven by a vision of creating smart and sustainable urban environments that enhance the quality of life for citizens and communities. Through his strategic leadership and expertise, Samrat is in the constant pursuit to create impact on the Smart Cities project and beyond.

Ahmed Gamal is a Data Scientist with over six years of experience in machine learning, natural language processing, and large-scale data solutions. He has designed and deployed predictive models, fine-tuned transformer architectures, and evaluated AI systems across advanced NLP tasks such as named entity recognition (NER), machine translation, and OCR.

Currently at Microsoft, Ahmed focuses on building scalable, data-driven solutions that balance accuracy and efficiency. His expertise includes distributed training, multi-GPU optimization, and applied ML for solving complex business problems. Alongside his core work in data science, he has also explored large language models through fine-tuning and prompt engineering for specialized tasks.

Alaa Ahmed Alshafai is a Senior AI Engineer and Technical Pre-Sales Manager with extensive experience in data platforms, artificial intelligence, and advanced analytics. With a strong track record in leading proof-of-concept initiatives, enterprise AI implementations, and vendor partnerships across Dataiku, Snowflake, Alteryx, and IBM ecosystems, Alaa bridges the gap between business strategy and technical execution. She has played a key role in building AI and data teams, driving digital transformation programs, and delivering high-impact solutions across government and enterprise sectors. Alaa is PMP certified and brings a unique blend of leadership, consulting, and hands-on engineering expertise to every engagement.

• Senior Data Scientist with 12+ years of industry experience in both Fortune 500 and unicorn startup companies in defining, developing, and deploying Machine Learning solutions to solve complex business, science and engineering problems. Proficient in translating business needs into actionable data-driven strategies; Proven records of solving complex data science problems and creating business values for stakeholders through advanced statistical, algorithmic, mining and visualization techniques

• Data Science Instructor with 4+ years of experience teaching ML concepts,  hands-on ML projects, job interview preparation, Databricks, Azure, AWS, python, SQL and statistics, with high student satisfaction.

Machine Learning Engineer with more than 8 years of experience in the AI/Data field, starting from data collection, engineering, analysis, and finally data science and MlOps. Fields of interest: 1- LLMOps, Machine Learning, Data Science, Deep Learning, Data Analysis and Big Data. 2-Systems Engineering & DevOps Engineering Work Experience: 1-Systems Engineering (Linux, Systems implementation, Big Data, Application Performance Monitoring, etc) 2-Data Analysis/Science/Engineering (Python, SQL, Machine Learning, Data On-Boarding, Data Analysis & Data Visualization) 3-DevOps (Mixed Experience in Linux administration, basic development and working with code, customer experience)

Zane has been a technology practitioner for more than 12 years, with experience in software engineering, machine learning and AI. He's currently a director of Gen AI in Manulife leading the architecture and reusability of Gen AI systems.

In his pastime, he is a passionate data science, machine learning and AI educator. His experience includes being an adjunct lecturer in Singapore's tertiary institutes and a lead instructor of data science and AI bootcamps in General Assembly and other tech academies.

Ahmed Yasser is a Technical Program Manager with deep experience delivering large-scale banking and fintech programs across the GCC. He leads multi-team initiatives at D360 Bank, driving regulatory-compliant digital solutions through strong technical oversight and disciplined Agile delivery. Previously, he served as Senior Scrum Master at Boubyan Bank and held Agile leadership roles at Vodafone and other tech organizations. With a background in software development and multiple certifications—including PMP, PMI-ACP, CSM, and SAFe—Ahmed combines technical expertise, product thinking, and high-performance team leadership to consistently deliver impactful results.

Amit Lathiya is a Engineering Lead with over two decades of experience in enterprise product development, cloud automation, and Generative AI. He has led high-performing global engineering teams to build scalable, cloud-native automation frameworks, multi-agent AI systems, Kubernetes-based orchestration platforms, and RAG-driven knowledge solutions. At Duck Creek Technologies, Amit drives AI-enabled engineering innovation, DevOps automation, and large-scale cloud modernization initiatives that significantly improve productivity, reliability, and delivery efficiency. Previously at DXC Technology and Wipro, he led machine learning, modernization, and enterprise software development programs for major insurance clients. Amit holds a Bachelor of Engineering in Computer Science and multiple Udacity Generative AI Nanodegree credentials.

Currently, I am working as a research scientist and doing my part-time PhD from Indian Institute of technology-Delhi (IIT-D). My professional journey started in 2017 wherein I started building my first startup. I won couple of national startup competitions and won grants of 5 lakh dollars. My primary role was to develop deployable machine learning models on micro-controllers. Then I joined IIT-D as a research scientist. Here I am working on a project to develop hardware and software to diagnose brain related diseases using fNIRS and EEG signals.

I have a strong background in Mobile Networks, Connectivity services, marketing and business analysis for Telecom Services. Currently, I am working on gaining more hands on experience involving Data science, Business/Data analytics, Data mining for Marketing and Internet of things.

Hello! I'm Zohaib Khawaja, currently a senior AI engineer at Microsoft, with experience as a Senior AI Architect at Nordic Global and a Solutions Architect at AWS. Outside of my day job I am an adjunct professor at Houston City College. Outside of my professional life I play as a professional e-sports player, play chess in local tournaments (you could probably beat me haha), go on hiking trips with my friends group, and travel the world with my wife

I guide and mentor aspiring developers in building innovative applications that solve real-world problems. With over 8 years of experience in software development, I bring practical expertise across Backend, Frontend, and Cloud Development. My goal is to help students bridge the gap between theory and practice, gain hands-on skills, and stay ahead of emerging technologies and industry trends.

I have a broad background in networking, cloud technologies, cybersecurity, data science, and artificial intelligence, and I enjoy bringing this experience into my teaching. My work has involved designing and troubleshooting large-scale network systems, improving wireless and cloud performance, developing secure architectures, and applying automation and machine learning to real engineering challenges.

I specialize in AI and machine learning, including supervised and unsupervised learning, neural networks, optimization techniques, signal-processing-based models, edge intelligence, and federated learning. I also have strong programming skills in Python, SQL, C/C++, JavaScript, and Linux, and I regularly work with APIs, automation frameworks, and modern development workflows. My database background includes SQL, relational modeling, query optimization, database security, and AI-driven SQL tools that integrate machine learning directly into data analysis.

Teaching is one of my biggest passions. I focus on making complex concepts clear, practical, and engaging. My approach emphasizes hands-on learning, real-world examples, and supportive guidance to help learners build confidence as they develop technical skills. I’ve taught topics such as programming, database management, cloud foundations, cybersecurity, wireless systems, and applied machine learning.

My academic journey includes advanced studies in engineering, data science, and business, with ongoing work in electrical and computer engineering that deepens my understanding of communications, signal processing, and intelligent systems. I’ve also contributed to research in areas like edge computing, wireless optimization, federated learning, smart manufacturing, autonomous systems, and digital holography.

Teaching is one of my strongest passions. I focus on making complex topics approachable, practical, and meaningful, using real-world examples, guided explanations, and hands-on practice to build confidence and skill development. I’ve taught learners in areas such as programming fundamentals, database systems, cloud foundations, cybersecurity, wireless communications, and applied machine learning, and I always aim to create a supportive learning experience that helps each student progress.My genuine passion for technology, innovation, and teaching drives me. My goal is to support learners as they strengthen their technical foundations, grow their confidence, and develop the skills they need to succeed in today’s rapidly evolving tech world.

As a Cloud and Data Senior Engineer, I design, deploy, and support cloud IaaS/PaaS for Enterprises and Service Providers, using technologies such as OpenStack, AWS, IBM Cloud, Docker, Kubernetes, CI/CD, Pandas, Anaconda, and Python. I have a strong background in Data Engineering, Cloud Engineering, Core Networking, and Container Orchestration, with certifications in Advanced Cloud Development, AWS Data Architecture, and Building Amazon Q Apps using Amazon Q Business.

Abhishek Mann is a machine learning engineer and AI mentor who builds production-grade generative and multimodal systems with strengths in large language models, vision-language models, and retrieval-augmented generation. At EY he designed an automated advertisement compliance solution that reduced review time from three to four weeks to 45 minutes. At the Reserve Bank of India he helped lead the video KYC chatbot program with MeitY and IIIT Hyderabad, achieving FacePAD performance of F1 0.9502 and APCER 0.0058 and delivering speech recognition using Whisper for Indian dialects. He has mentored 500+ learners with a 4.8 out of 5 rating.

Hi, I’m Ujjwal Sharma, a Technical Lead and software engineer who’s been building real-world applications for over six years. I’ve had the chance to work on everything from AI-powered chat platforms and ERP systems for universities to real-time dashboards for yachts and video conferencing solutions for enterprises. I love taking complex problems, breaking them down, and turning them into something practical and useful.

Beyond my day job, I’ve been a Mentor and Project Reviewer at Udacity since 2017, helping hundreds of students around the world navigate their coding journeys. What I enjoy most is seeing that “aha!” moment when a concept clicks and a student feels confident in their skills. I believe programming is as much about problem-solving and creativity as it is about syntax, and I encourage learners to experiment, make mistakes, and grow. I’ve worked across frontend frameworks like Angular and React, backend technologies like Django, and cloud platforms like AWS and Azure. But more importantly, I know what it feels like to be starting out, sometimes feeling stuck or unsure. I bring a balance of hands-on industry experience and a genuine interest in supporting the growth of upcoming programmers. Having worked closely with teams, clients, and students, I understand both the technical and human side of learning. My goal is to share practical insights, encourage curiosity, and help aspiring developers gain the confidence to build meaningful solutions.

Amir Parizi is a Machine Learning Engineer at Meta with over seven years of experience spanning software development, data engineering, and applied machine learning. He specializes in building scalable ML systems, optimizing large language models (LLMs), and deploying predictive solutions that drive business impact.

Previously, Amir served as a Data Scientist at Fraser Health Authority, where he contributed to healthcare innovation projects, and as a Senior Data Scientist at Staples, where he led end-to-end development of a RAG-powered chatbot, built ML pipelines on Azure/Databricks, and delivered customer analytics solutions for 900M+ transactions.

I am a highly skilled and motivated Senior Software Engineer with over 8 years of experience specializing in Android development using Java and Kotlin, as well as Kotlin Multiplatform (KMP) for building shared modules across Android and iOS.

In my current role, I focus on developing native KMP modules for core payment components, enabling Android and iOS teams to implement only their presentation layers while sharing unified domain and data layers. I have successfully refactored legacy Java and Kotlin modules into KMP to establish a scalable, maintainable shared architecture.

With more than 6 years of experience in the Fintech and Banking sector, I have contributed to top fintech applications in Egypt, covering solutions for prepaid cards, BNPL, investments, medical and insurance services, gifts and offers, and core payment systems with secure transaction layers.

I take pride in designing, building, and maintaining high-performance, reliable, and secure applications, ensuring optimal performance, quality, and responsiveness. I’m passionate about refactoring legacy systems, enhancing code quality, and continuously improving my problem-solving and algorithmic skills.

. Certified by Microsoft PL300

2. 17 years of experience at Etisalat Mobile Operator as International Business Developer

3. 8 years Experience as Power BI & Data analytics Freelance Instructor online and onsite

4. Power BI Tutor at the British University in Egypt (BUE), iCareer & Ibn Sinai Academy.

5. Part Time Power BI Developer at Al Abraaj Restaurants in Bahraij

6. 6.MSc in Telecommunications Engineering in 2015 (Thesis was about QoS in 5G network)

7. BSc in Telecommunications Engineering in 2008 (Ranked #4)

8. Published 5 Power BI Courses over Udemy

9. Worked as international speaker at Spain & Germany conferences

10. PMP Certified by PMI

Proven experience in solving cloud challenges with various working experiences in transversal environments, I’m a cloud enthusiast with 15+ Certifications (11 x AWS, 02 x Azure, 03 x GCP, 02 x HashiCorp, 01 x Kubernetes) and I'm a member of AWS Community Builders.

I have studied as systems administrator and worked for companies such as Dassault Systèmes and Kering. However, the focus in my career is on building modern infrastructure that simplifies application deployment. In my current role At Aviv Group, I'm working closely with dev/ops teams to design and implement central tools to reduce toil and improve developer experience.

In my previous role as SRE at Kering, I was part of the TACTIQ team that created and maintained ARSENAL, a centralized platform bringing cloud native principles and technologies to the company. I have been actively involved in designing the architecture of multiple services deployed on AWS and Alibaba Cloud, leveraging various open-source technologies such as Terraform, Vault, Consul, Kafka, Packer, Ansible, Grafana, Prometheus, and Kubernetes.

Since 2024, I have been exploring the world of Generative AI and its applications in the DevOps ecosystem. I enjoy sharing knowledge through articles, conferences, and mentoring on platforms like Udacity and MentorCruise.

Abdalla Abdelrahman is a Lead Data Scientist and part-time professor with a PhD in Electrical and Computer Engineering (Artificial Intelligence) from Queen's University. His research focused on advanced machine learning, optimization, and large-scale data systems. Abdalla’s expertise spans AWS cloud solutions, quantitative analysis, and the development of AI systems for government, industry, and academic applications. He is passionate about mentoring future AI scientists and driving innovation in applied AI.

With over 10 years of industry experience, I’m a Software Engineer specializing in Data Engineering, Data Visualization, Analytics, and AI/ML, including cutting-edge work in Generative AI. I’ve built scalable data platforms, designed intuitive dashboards, and delivered intelligent solutions that transform raw data into strategic insights.

My journey spans diverse sectors, where I’ve led initiatives in predictive modeling, recommendation systems, and automation using modern ML and GenAI frameworks. I’m fluent in cloud ecosystems, big data tools, and visualization platforms—bringing both technical depth and business acumen to every project.

I thrive in cross-functional teams, translating complex data challenges into impactful outcomes. Whether optimizing data pipelines or deploying AI-driven solutions, I bring a passion for innovation and a commitment to excellence.

I'm a Motivated Mechatronics Engineer. I'm an Ms.D student in Mechatronics currently. My study primarily focuses on robotics and AI. I have been studying AI since 2018. I have 6 years of teaching experience at various universities in Egypt, serving as a Teaching Assistant, Tutor, and Assistant Lecturer. I have been a Session Lead and Tutor at Udacity for three years. I have a strong interest in academic research. For the current year of 2025, I have two IEEE publications.

I’m a Digital Marketing Consultant and Performance Manager with hands-on experience in growth strategy, media planning, and paid advertising across Meta, Google, TikTok, Snapchat, and Apple. Over the years, I’ve helped leading e-commerce and EdTech brands in the MENA region— scale their performance and achieve sustainable growth through data-driven decision-making. I’ve been working with Udacity for over 5 years as a Digital Marketing Session Lead, mentoring learners and ensuring high-quality program outcomes across multiple tracks.