Course Director
Based in London, Ajit's work spans research, entrepreneurship and academia relating to artificial intelligence (AI) and the internet of things (IoT).
Ajit is the Course Director and/or tutor for Continuing Education’s portfolio of artificial intelligence courses for professionals:
Ajit is also a Visiting Fellow in the Department of Engineering Science here at the University of Oxford.
He also works as a Data Scientist through his company Feynlabs - focusing on building innovative early stage AI prototypes for domains such as cybersecurity, robotics and healthcare.
Besides the University of Oxford, Ajit has also conducted AI courses in the London School of Economics (LSE), Universidad Politécnica de Madrid (UPM) and as part of the The Future Society at the Harvard Kennedy School of Government.
He is also currently working on a book to teach AI using mathematical foundations at high school level.
Ajit was listed in the top 30 influencers for IoT for 2017 along with Amazon, Bosch, Cisco, Forrester and Gartner by the German insurance company Munich Re.
Ajit publishes extensively on KDnuggets and Data Science Central.
He was recently included in top 16 influencers (Data Science Central), Top 100 blogs (KDnuggets), Top 50 (IoT central), and 19th among the top 50 twitter IoT influencers (IoT Institute).
His PhD research is based on AI and Affective Computing (how AI interprets emotion).
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
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 specialists, Data engineering, Tech Executive, and Focus on Sustainability in Digital.
As the founder and Principal Consultant of AI and CyberSecurity Consultancy, Raj leads and delivers full-stack data science projects and works with startups, scaleups, MNCs, UK Government, focusing on building Tech using AI and Big Data for domains such as cybersecurity, healthcare, and education. He has been involved in implementing artificial intelligence cyber security algorithms based on a Generative AI.
Raj also has experience in creating Enterprise Data platforms and secure Machine learning pipelines for development, training, testing, and deploying ML algorithms in a production environment.
He has a Master's Degree in Information Security certified by GCHQ, the UK Government Communications Headquarters, with a Research Project in AI and has a Master's Degree in Software Development and Algorithm Design, along with a strong software engineering background with mathematics, statistics, and physics. Pursuing PhD from Royal Holloway University of London (Generative AI applications in Information Security).
Course 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.
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.
