Course Director
Ajit is a dedicated leader and teacher in Artificial Intelligence (AI), with a strong background in AI for Cyber-Physical Systems, research, entrepreneurship, and academia.
Currently, he serves as the Course Director for several AI programs at the University of Oxford and is a Visiting Fellow in Engineering Sciences at the University of Oxford. His work is rooted in the interdisciplinary aspects of AI, such as AI integration with Digital Twins and Cybersecurity.
His courses have also been delivered at prestigious institutions, including the London School of Economics (LSE), Universidad Politécnica de Madrid (UPM), and as part of The Future Society at the Harvard Kennedy School of Government.
As an Advisory AI Engineer, Ajit specialises in developing innovative, early-stage AI prototypes for complex applications. His work focuses on leveraging interdisciplinary approaches to solve real-world challenges using AI technologies.
Ajit has shared his expertise on technology and AI with several high-profile platforms, including the World Economic Forum, Capitol Hill/White House, and the European Parliament.
Ajit is currently writing a book aimed at teaching AI through mathematical foundations at the high school level.
Ajit resides in London, UK, and holds British citizenship. He is actively engaged in advancing AI education and innovation both locally and globally. He is neurodiverse - being on the high functioning autism spectrum.
Ajit's work in teaching, consulting, and entrepreneurship is grounded in methodologies and frameworks he developed through his AI teaching experience. These methodologies help to rapidly develop complex, interdisciplinary AI solutions in a relatively short time. These include:
1. The Jigsaw Methodology for low-code data science to non-developers.
2. The AI Product Manager framework and AI product market fit framework
3. Software engineering with the LLM stack
4. Agentic RAG for cyber-physical systems.
5. AI for Engineering sciences:
6. The ability of AI to reason using large language models
He also consults at senior advisory levels to companies.
His newsletter on AI in Linkedin has a wide following
Tutor
Digital Solutions Architect, Metrobank
Anjali is a Digital Solutions Architect at Metrobank, where she helps to deliver advanced technology driven business solutions around diverse themes of Internet Banking, Mobile App, Business banking, and Open banking/PSD2, using agile methodology.
She has over 16 years of IT experience and worked across Banking, Telecom and logistics domains, from inception to the delivery of complex projects.
Anjali is passionate about AI and Machine learning and completed the course "Data science for internet of things" in February 2019 from the University of Oxford.
Tutor
LLM Strategy Consultant and AI Developer
John Alexander is a highly experienced and accomplished professional with a diverse background in technology, strategy consulting, and education. He has a passion for designing and building accessible experiences using machine learning coupled with vision, voice, touch, and virtual/mixed reality. Currently, he serves as an LLM Strategy Consultant and AI Developer, where he focuses on implementing LLM strategies and experimenting with cutting-edge tools like LangChain and Pinecone. Additionally, John is a Tutor at the University of Oxford, where he lectures on Artificial Intelligence applications and Cloud and Edge Implementations.
Prior to his current roles, John spent several years at Microsoft, where he held various positions including Lead Developer and Engineer Relations, Autonomous Systems, and Lead Content Developer on ML.Net. John participated in the Xbox Accessible Controller beta and the launch video. He was on the award-winning Hackathon 2020 Elev8: Accessible Guitar Team. These are two of his proudest accomplishments. His expertise also extends to content development and instruction, as he has developed Coursera courses and Learn modules on Autonomous Systems in collaboration with prestigious institutions like the University of Washington and the University of Oxford.
Before joining Microsoft, John was the co-founder of a digital agency and consultancy and had the honor of being a Microsoft Regional Director for 19 years, where he participated in scheduled strategic feedback sessions with Microsoft senior leadership teams. John co-founded the largest technical blogging community in the world, Geekswithblogs.Net, before selling it several years ago. He’s co-authored three best-selling technical books and Microsoft Official Curriculum. John has a proven track record in high-profile international public speaking and presentations in front of some of the most demanding audiences, both executive and technical.
He’s coached several teams of developers, leading one directly responsible for earning their organization a place on CIO Magazine’s “Agile 100” list. John also built music chart applications for Billboard Magazine used by "American Top 40” and architected a highly scalable Mutual Funds Trading SOA-based platform used non-stop the last 21 years to process billions of dollars in transactions. In his spare time, he's sat in Kirk's Chair on the bridge, recorded cartoon pilots as part of a voice ensemble cast, is the co-creator of the "Geek" t-shirt (found at most Microsoft conferences), and was Facebook friends with Patrick Swayze.
Tutor
Aishwarya works as a tech lead at the AWS-Generative AI Innovation Center in California, where she leads projects aimed at building production-ready generative AI applications for medium to large-sized businesses. With over 8 years of experience in machine learning, Aishwarya has published 30+ research papers in top AI conferences and mentored numerous graduate students. She actively collaborates with research labs and professors from institutions like Stanford University, University of Michigan, and University of South Carolina on projects related to LLMs, graph models and generative AI.
Outside her professional and academic pursuits, Aishwarya actively contributes to education through various channels. She offers free courses online, with over 3000 individuals having taken them already, and serves as a visiting lecturer at esteemed institutions like Massachusetts Institute of Technology. Additionally, she co-founded The LevelUp Org in 2022, a tech mentoring community dedicated to assisting newcomers in the field through mentorship programs and career-oriented events. A recognised industry expert and thought leader, Aishwarya frequently speaks at various industry conferences like ODSC, WomenTech Network, ReWork and AI4, and has presented research at top-tier AI research conferences including EMNLP, AAAI and CVPR.
Tutor
Norah Klintberg Sakal is an AI enthusiast and entrepreneur passionate about applying technology to solve real-world problems. As the founder of Braine, Norah assists companies in enhancing productivity using AI tools like GPT-3/4. Before Braine, Norah founded NuclAI, focusing on AI algorithms for cancer research and microbiology.
During her time at Chan Zuckerberg Biohub, Norah worked on artificial intelligence for segmentation of nuclei from transmitted images, further developing her expertise in the field. She has shared her knowledge and insights at international conferences, engaging audiences on AI, entrepreneurship, and innovation. As an AI tutor at Oxford, Norah aims to inspire students to explore the potential of AI and create innovative solutions across industries.
Tutor
Senior Cloud Advocate, Microsoft
Chris is Senior Cloud Advocate at Microsoft with more than 15 years's experience in the IT industry. He's a published author on several books about web development as well as the Go language. He's also a recognized speaker as well as keynote speaker and holds a Google developer expert title.
Tutor
Ayşe Mutlu is a data scientist working on Azure AI and devops technologies. Based in London, Ayşe’s work involves building and deploying Machine Learning and Deep Learning models using the Microsoft Azure framework (Azure DevOps and Azure Pipelines).
She enjoys coding in Python and contributing to Open Source Initiatives in Python.
Tutor
Digital Hive and Innovation consultant, Anglo American Plc
Marina is an Analyst Developer and Software consultant at Anglo American plc working at the Digital Hive on innovative trading analytics and optimisation projects. She has over 18 years’ experience in Software Engineering, Business Analysis, Data Science and full software development life cycle in a variety of business domains including Commodity trading and optimisation, Finance, Machine Learning and Artificial Intelligence, e-commerce, e-learning, and web-development.
Marina holds an MSc, with distinction, in Software Engineering from the University of Oxford and a degree in Applied Mathematics from Lomonosov Moscow State University. In February 2020, Marina completed the course "Data science for internet of things" from the University of Oxford.
Course Tutor
Abhinav Kimothi is a seasoned data science and AI leader with over 15 years of experience in data driven consulting, application development, and leveraging AI and ML to solve complex business problems.
Presently, he is a co-founder and the Vice President of Artificial Intelligence at Yarnit where he leads a team dedicated to developing an innovative content marketing platform powered by generative AI.
Abhinav's career has spanned diverse projects in analytics, predictive modeling, machine learning and enterprise product development. Abhinav studied engineering at BITS-Pilani and got his management education at Indian School of Business – Hyderabad.
Passionate about driving AI advancements, he aims to make a meaningful impact by transforming data into actionable insights and pushing the boundaries of technology.
Tutor
Arthur Orts is the Head of Portfolio Analytics & Risk Specialist Sales for Continental Europe at Bloomberg LP, a position he has held since November 2019. With over 9 years of experience at Bloomberg, Arthur has developed deep technical expertise in quantitative finance and advanced portfolio engineering. His work integrates Factor modelling, machine learning with traditional financial models and models for allocation, and risk management.
Following his master's degree at the Mines Paris Tech and University of Paris-Dauphine, he completed an internship at the Atomic Energy Center of Saclay (CEA), working on innovative projects. Arthur continues to stay close to academia by sharing his expertise through lecturing in quantitative finance at institutions like Grenoble Ecole de Management.
Arthur has taken a keen interest in artificial intelligence, completing courses in Machine Learning Operations (MLOps), Machine Learning, and Generative AI at the University of Oxford. This advanced training in AI complements his extensive background in quantitative finance and data analysis.
Putting theory into practice, Arthur has developed an early version of an agentic application called DataFoundry. This tool leverages AI agents to autonomously collect and organize web data into structured datasets, demonstrating the practical applications of AI in data management and analysis. DataFoundry bridges the gap between raw web information and actionable business intelligence, showcasing Arthur's ability to apply cutting-edge AI techniques to solve real-world data challenges in finance and beyond.
