Joshua Uwaifo
ML EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Truth over factoids
Joshua works on architecting the foundational AI models and ecosystems towards a flourishing future. He is the founder of UEFO, an artificial superintelligence and world model research company and co-founder of Abada, a digital infrastructure partner to global family offices. Joshua's background is in Discrete Mathematics, he has a masters in Artificial Intelligence, he serves as the Chief AI Officer of the Oxford and Cambridge ecosystem of AI founders and he advises Saudi Arabia's National Esports and Gaming Strategy. He is formerly an adjunct professor of AI at the University of Edinburgh and was number 5 in the world in FIFA competitive gaming. He is an American born, British raised, Nigerian who is residing in the Bay Area and Abu Dhabi with his wife. On a human side, Joshua is a lover of Biblical exegesis within the context of interfaith dialogues, playing sports (padel, futsal and squash) and finding the best local south-east Asian restaurant packed with fresh, healthy options
The University of Edinburgh
MSc, Artificial Intelligence
September 1, 2017 – November 1, 2018
University of Warwick
BSc, Mathematics, Computer Science, Discrete Mathematics
September 1, 2014 – July 1, 2017
Dartford Grammar School
International Baccalaureate, Mathematics
N/A – Present
UEFO Pro
ASI Infrastructure Architect, Founder
February 1, 2025 – Present
HawkGamingGroup
Chief AI Officer
February 1, 2025 – Present
Saudi Arabia
Oxbridge AI Challenge & Oxbridge AI X
Chief AI Officer
June 1, 2024 – Present
University of Oxford, University of Cambridge, United Kingdom
Stealth Startup
Co-Founder & CTO
June 1, 2023 – September 1, 2024
Remote
Move.ai
Applied (AI) Research Scientist
January 1, 2020 – December 1, 2021
London, United Kingdom
Ikon Science
Applied (AI) Research Scientist
January 1, 2019 – December 1, 2019
Surbiton, London
Codestar
August 1, 2016 – August 1, 2016
London Area, United Kingdom
Cambridge Coding Academy
AI Ambassador
July 1, 2016 – July 1, 2017
Meta Facebook
Rare Foundations Technologist
June 1, 2016 – June 1, 2016
London Area, United Kingdom
FactSet
Rare Foundations Technologist
May 1, 2016 – May 1, 2016
London Area, United Kingdom
Technology Top Black Talent
October 1, 2015 – October 1, 2015
123 Buckingham Palace Road, London
Stealth
AI Solutions Architect
August 1, 2015 – Present
Kick off your Coaching Career
Crystal Palace Football Club
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's diverse experience across startups, research roles, and leadership positions, including founding their own companies, indicates a proactive and innovative mindset. Their involvement with initiatives like the Oxbridge AI Challenge and Hawk Gaming Group suggests an interest in fostering growth and strategic partnerships, which could align well with dynamic, growth-oriented environments. The breadth of applications for AI solutions (motion capture, geoscience, corporate training, gaming, finance) demonstrates adaptability and a broad understanding of AI's potential across various domains. However, the recent roles as 'Chief AI Officer' and 'Founder' with overlapping start dates in 2025 and 2024, and some roles without clear end dates, might require clarification to understand commitment and focus.
Soft Skills & Operational Fit
The candidate's entrepreneurial background and leadership roles suggest strong initiative, problem-solving, and strategic thinking. Experience in founding and leading technical teams indicates an ability to drive projects from conception to deployment. The descriptions of roles at HawkGamingGroup and Oxbridge AI Challenge imply strong communication and collaboration skills in securing partnerships and fostering innovation. However, without specific psychometric test results or interview data, a detailed assessment of stress handling, team collaboration, and work attitude is not possible.