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Co-founder & CTO, Ahead Health
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
I'm a co-founder and CTO of Ahead Health. Previous roles at Google: I led various Cloud AI engineering groups focusing on developing Financial Services, Healthcare and Life Sciences, and Manufacturing. I led and developed various merchant-facing and advertising-facing innovations in the area of Shopping Campaigns (incl. Smart Shopping Campaign) and Google Merchant Center.
National University of Singapore
Doctor of Philosophy (Ph.D.), Computer Science
N/A – Present
National University of Singapore
Master of Science (M.Sc.), Computer Science
N/A – Present
National University of Singapore
Bachelor of Science (B.Sc.), Computer Science
N/A – Present
Ahead Health
Co-Founder & CTO
July 1, 2025 – Present
Animatix.ai
Founding Advisor
July 1, 2025 – Present
Senior Director of Software Engineering
January 1, 2009 – June 1, 2025
Genome Institute of Singapore
Research Scientist
January 1, 2004 – December 1, 2008
Genome Institute of Singapore
Research Associate
August 1, 2001 – December 1, 2003
Cultural Fit Analysis
The candidate's background is heavily skewed towards software engineering leadership and research, with recent entrepreneurial ventures. While this demonstrates adaptability and a broad skill set, the target role of 'Data Analyst' is a significant shift from their primary career path. The lack of explicit data analysis projects or roles makes direct cultural fit for a data analyst position challenging to assess. Their experience suggests a strong drive and high-level strategic thinking, which could be an asset, but also a potential mismatch for a hands-on data analyst role.
Soft Skills & Operational Fit
The candidate's extensive leadership and entrepreneurial experience suggest strong soft skills such as leadership, strategic thinking, and problem-solving. However, without specific psychometric test results or interview data, it is difficult to assess operational fit beyond general assumptions based on their career trajectory.