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
Course Director
Raj Sharma has over 24 years of experience in software consulting, entrepreneurship with artificial intelligence (machine learning and deep learning), big data technologies, cybersecurity, and AI. He focuses on digital sustainability.
As a consultancy's founder and principal enterprise architect, Raj delivered data and AI strategy and architecture full-stack data science projects to startups, scale-ups, MNCs, and the UK government. He focuses on Designing and building Tech using AI and Big Data for cybersecurity, Insurance, and healthcare domains. He was also involved in Designing strategy and architecture for Enterprise Data platforms and securing Machine learning pipelines for development, training, testing, and deploying ML algorithms in a production environment. He has been involved in implementing artificial intelligence cyber security algorithms based on Generative AI.
He has a Master's Degree in Information Security certified by GCHQ, the UK Government Communications Headquarters, with a Research Project in AI. He has a Master's Degree in Software Development and Algorithm Design and a strong software engineering background in mathematics, statistics, and physics. He is pursuing PhD from Royal Holloway University of London (Generative AI applications in Information Security).
Course Tutor
With over two decades dedicated to Information Security Governance, Risk, and Compliance (GRC), Nadeem’s career encompasses a variety of high-impact roles, from strategic positions within top management consultancies to key CISO appointments, across a global landscape. His leadership in transformative security initiatives has contributed to the integration of AI technologies within multinational organisations positioning him as a forward-thinking leader in the cybersecurity field.
Nadeem’s educational approach is aimed at equipping professionals with the necessary skills to adeptly manage security governance, risk, and compliance, enriched with AI advancements. By bridging the gap between theoretical knowledge and practical application, he ensures a deep understanding of AI’s transformative role in information security.
Beyond his corporate achievements, Nadeem is an influential voice within the information security community, shaping the discourse on the integration of cybersecurity and AI through participation in conferences and contributions to renowned publications. His role extends to serving as a board advisor for an AI startup, where he leverages his expertise to guide the strategic direction of pioneering AI solutions in cybersecurity.
In leading sessions that highlight the crucial role of AI in reshaping Security GRC, Nadeem equips professionals to utilise technological advancements in developing secure, forward-thinking frameworks. His insights into AI strategies against evolving digital threats provide the tools necessary for constructing secure and resilient security organisations.
Course Tutor
Vikram Tegginamath is a Cyber Security leader at McKinsey & Company, and a technologist with over two decades of experience in developing, managing and securing information systems for high-growth Consumer Electronics (Philips, NXP), Broadcast (Sky and BBC), Data Science, Artificial Intelligence (QuantumBlack) companies. Earlier in the career, his focus was software development and integration, working with numerous Fortune 500 companies in the design, implementation and management of large Systems Integration projects (SkyQ, YouView, etc).
In the past 10+ years, he has applied that experience in the software and digital assets space focused on Practice Security leadership, Team leadership, Cloud Security, Design, Development and Integration of Security Tools, Third-party Vendor risk management, DevSecOps, Big data security domain, AI transformation and MLSecOps.
He currently serves as the Head of Practice Security for Global Operations Practice at Mckinsey & Company, serving clients across various industries from FinTech, Investment\Retail Banking to Manufacturing and Public Sector. As a trusted advisor to senior business and security leadership, his current role involves securely adopting new technologies (such as GenAI), building successful internal security teams, creating security programme and taking the organization’s security capability forward in an accelerated timeframe.
With extensive experience of DevSecOps and Cloud Security, he is involved in the research areas of evolving AI Security and MLSecOps with active contribution to the security community, been a panelist in Cyber workshops and conferences.
With a MSc in Cyber Security (GCHQ certified) from the University of Oxford and BEng in E&C, it has helped him to apply the engineering principles within the diverse domains he works with, including Data Science & AI. He holds industry certifications, including the AI for Cybersecurity and ML for Cybersecurity from reputed universities, AWS Certified Solution Architect - Associate, PRINCE2 and ISEB certs in Solution and Enterprise.
Outside of work, he is passionate about cricket, believes in giving back to the community. He is a qualified ECB Cricket coach, working to help young players improve, have fun, be safe and learn at every stage of their development.
Course Tutor
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.
Course Tutor
Regional Director for Customer Success, Neo4j
David is the Regional Director for Customer Success at Neo4j, where he helps customers realise their business goals with Graph database solutions.
He has over 25 years of experience and before joining Neo4j, he was a member of the Office of CTO at Hewlett Packard and held the title of Distinguished Architect, working on emerging technologies and designing data driven solutions.
David has a strong passion for solution architecture and ensuring technology delivers the outcomes desired by business users and sponsors.
His experience with Graph databases spans almost 10 years, designing CMDB, NLP engines and HR and workforce developments solutions. He won a Graph industry award in 2018.
Course Tutor
Olu Odeniyi has over 30 years’ experience helping organisations maximise commercial gain from technology solutions.
During this time, Olu held several key senior leadership, strategic and operational positions in the public and private sectors where he gained awards for innovation and exceeding objectives.
He advises companies on cyber security, information security and digital transformation.
Working with the University of West London Enterprise hub, Olu created and led workshops on cyber security, AI, and information security. He has also created and taught cyber security courses to audiences from the public and private sectors.
Olu led the cyber security and big data themes for the Science and Innovation Audit (SIA) sponsored and by the department of Business, Energy and Industrial Strategy (BEIS) led by Brunel University. He also led a workshop on “cyber security for airports” involving experts from Glassgow and Royal Holloway university.
Olu co-authored the final report published by BEIS.
As a virtual CISO, Olu has led several cyber security incident responses and liaised with forensic investigators.
He leverages his practical expertise and scholarly inquiry to produce insights and guidance on emerging cyber security challenges. He has also reviewed books on cyber security and is quoted regarding his acuities on “the threat of deepfakes”.
Olu is currently researching application of AI for cyber security within IoT, working with the University of West London. He is also working on a new start-up focused on educating boardrooms on cyber security governance. Olu speaks on various cyber security topics at public events and private gatherings.
Researching the use of Large Language Models (LLMs) within the cyber security domain is another current research interest for Olu.
Olu has a degree in Electronic Systems Engineering and is a professional member of BCS (Chartered Institute for IT).
Special Interest groups Olu has joined include Artificial Intelligence, Cybercrime Forensics, Information Risk Management Assurance, Information Security, Agile Methods.
Course Tutor
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.
Course Tutor
Joylynn Kirui is an infosec evangelist who believes in empowering developers and users in general on security best practices. She has vast experience in web and mobile app security testing, DevSecOps and GSM security having previously worked in the telco industry. She has a passion for mentorship and training students and empowering them. She has spoken in several conferences where she shares her knowledge in cyber security and software development.
She is among the Top 50 Women in Cyber Security Africa 2020 finalists, Woman Hacker of the year Africa 2020 finalists and Young CISO Vanguard 2022 among others. She is a co-Author of 'DevSecOps for Azure' available on Amazon.
She is a Senior Cloud Security Advocate at Microsoft. She focuses on DevSecOps on GitHub and Azure which includes application security.
Course 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.
