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Machine Learning Innovator
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
University of Cambridge
Doctor of Philosophy - PhD, Machine Learning
January 1, 2011 – January 1, 2014
University of Cambridge
Master of Philosophy, Statistics
January 1, 2008 – January 1, 2009
University of Cambridge
Bachelor of Arts, Mathematics
January 1, 2005 – January 1, 2008
Google DeepMind
Research Engineer
October 1, 2023 – Present
Mountain View, California, United States
Abacus.AI
Advisor / Consultant
April 1, 2023 – June 1, 2023
San Francisco Bay Area
Abacus.AI
VP of Product
November 1, 2022 – April 1, 2023
San Francisco Bay Area
DeepWalk
Technical Advisor
May 1, 2022 – Present
Mountain View, California, United States · Remote
Qlearsite
AI Advisor
January 1, 2021 – Present
Abacus.AI
Machine Learning Engineering Lead
January 1, 2021 – November 1, 2022
San Francisco Bay Area
Qlearsite
Technical Co-Founder
October 1, 2015 – December 1, 2020
University of Cambridge
Postdoctoral Research Associate, Machine Learning Group
January 1, 2015 – October 1, 2015
Wingspan Productions
Machine Learning Consultant for Musical Theatre
October 1, 2014 – March 1, 2015
Cambridge, England, United Kingdom
The Boston Consulting Group
Strategy Consultant (Associate)
January 1, 2010 – July 1, 2011
Barclays Capital
Quantitative Analyst (Intern)
December 1, 2008 – December 1, 2008
London Area, United Kingdom
The Boston Consulting Group
Strategy Consultant (Intern)
June 1, 2008 – July 1, 2008
London Area, United Kingdom
OXEYE CAPITAL MANAGEMENT LIMITED
Quantitative Analyst
December 1, 2006 – December 1, 2009
Cultural Fit Analysis
The candidate's career trajectory shows a blend of deep academic research, startup founding, and roles in established tech giants. This indicates a strong drive for innovation, a willingness to take on significant responsibility, and an ability to operate in various organizational cultures. Their advisory roles suggest a collaborative and mentorship-oriented approach. The breadth of experience, from technical implementation to product leadership, aligns well with a culture that values both technical depth and strategic vision.
Soft Skills & Operational Fit
The candidate's experience in leadership roles (VP of Product, Technical Co-Founder) and advisory positions suggests strong communication, strategic thinking, and team collaboration skills. Their academic background and research roles indicate a strong problem-solving and analytical mindset. The diverse roles across startups and large corporations demonstrate adaptability and operational fit for dynamic environments.