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
Speaker
Jesus is an accomplished digital industry professional with 25 years of experience, including the last 16 years at Microsoft.
He specialises in digital transformation, innovation, artificial intelligence, human-computer interaction, and user experience, while also maintaining a strong technical background as a software engineer.
He is a leader in emerging forms of interaction such as extended reality, voice, and biometric interfaces.
In 2014, he was the inventor of one of Microsoft's protected patents for a virtual experience applied to public events, long before the term "metaverse" became popular.
Throughout his career, Jesus has been involved in a wide range of industries, including retail (Zara, IKEA), banking (Santander), insurance (Reale), media (Sony Pictures, 20th Century Fox), and telecommunications (Ooredoo).
He has also led the Sports and Entertainment Innovation team, managing 180 sports organisations in 35 countries and 23 sports (Real Madrid, Real Sociedad, Laliga, FIFA, FIVB, IAAF, Toyota WRC, WWE, Russia World Cup 2018, Qatar World Cup 2022 etc.).
He has led the development of several successful consumer apps for iOS, Android, Windows and HoloLens, which have received millions of downloads.
He is a top Microsoft speaker, having delivered over 100 sessions and keynotes at global events, achieving the Microsoft Speaker Grand Slam (speaking at the five largest Microsoft global events). He is also an Associate Professor in various Master's programmes and a frequent collaborator with business schools, universities and bootcamps.
Jesus' favourite quote is "Do not follow where the path may lead. Go instead where there is no path and leave a trail" - Ralph Waldo Emerson.
Course Director
Data Scientist
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.
Speaker
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.
Speaker
Co-founder, Erdos | Author | Senior Tutor in AI & ML, University of Oxford | AI Ambassador, Oxford AI & ML Competency Center | Data Architect, Metro Bank
Anjali Jain is a London-based data architect, author, and AI expert with over two decades of experience in software development, architecture, data strategy, and applied machine learning.
At the University of Oxford, she serves as Senior Tutor in AI and Machine Learning and as AI Ambassador at the AI & ML Competency Center, where she leads strategic initiatives in AI education and research.
She is the co-founder of Erdos Research, a collaborative research and innovation lab focused on building and implementing AI systems, advancing prompting methods, and developing tools for AI-assisted software engineering.
Anjali also serves as Data Architect at Metro Bank, where she supports the integration of AI into financial systems with a focus on data governance, data architecture and compliance.
She is the co-author of “10X AI Developer Guide with BRIDGE AI Framework” and “AI-Assisted Programming for Web and Machine Learning”, offering practical methodologies for building intelligent, human-centric technologies.
Speaker
Enterprise Solutions Architect
Amazon Web Services (AWS)
Tingyi Li works as an Enterprise Solutions Architect at Amazon Web Services (AWS) based in Stockholm, Sweden, and is the founder and leader of the AWS Nordics Generative AI community.
She enjoys helping customers with the architecture, design, and development of cloud-optimized infrastructure solutions. Currently, she is focusing on demystifying Generative AI and working with companies across industries to unlock business values leveraging AI/ML and Generative AI technologies.
Tingyi has a bachelor's degree in Computer Science from Shanghai Jiao Tong University in Shanghai, China and finished her master's degree in Machine Learning from KTH Royal Institute of Technology in Stockholm, Sweden.
Prior to AWS, she has worked as a Data and AI Engineer, as well as Software developer roles at Intel, Foxconn and Huawei etc., building large-scale intelligent industrial data systems and driving innovations using AI/ML.
In her spare time, she also works as a part-time illustrator/prompt engineer who writes novels and plays the piano.
Guest Speaker
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
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.
