Help & Supportcareers@gravityer.com
Engineering director at Google Search
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Seasoned engineering leader in AIML applied research and productionization focusing on personalized GenAI LLMs. Expertise in scaling up strong ML teams globally (US/EU/IN) with outsized top-line product impact across Google, Meta and Pinterest.
Cornell University
Ph.D, Computer Science
N/A – Present
National University of Singapore
Bachelor of Computing, Computer Science
N/A – Present
Director of Engineering at Search Intelligence
September 1, 2025 – Present
Mountain View, California, United States · On-site
xAI
Member of Technical Staff, Applied AI
June 1, 2025 – September 1, 2025
Palo Alto, California, United States · On-site
Director of Google Image Search, and a new GenAI visual feed
September 1, 2024 – June 1, 2025
San Francisco Bay Area
GenAI Principal Engineer, Search Discovery
February 1, 2023 – February 1, 2025
San Francisco Bay Area
Senior Staff Engineering Manager, AI Ads
May 1, 2020 – February 1, 2023
San Francisco Bay Area
Senior Staff Engineering Manager, Head of Content Understanding
March 1, 2014 – May 1, 2020
San Francisco Bay Area
Citadel Investment Group
Quantitative Researcher
February 1, 2012 – February 1, 2014
London and Hong Kong
Goldman Sachs
Algorithmic Trading Quant
July 1, 2010 – January 1, 2012
London Area, United Kingdom
Cultural Fit Analysis
The candidate has a strong background in leadership and applied AI/ML across various domains (search, recommendations, ads, trading). While the target role is 'Data Analyst', the candidate's experience is heavily skewed towards senior leadership and engineering director roles in AI/ML, which is a significant mismatch for a typical Data Analyst position. The breadth of experience is high, but the alignment with the specific target role is low. The candidate's experience is more suited for a Principal Data Scientist, AI Lead, or Engineering Director role.
Soft Skills & Operational Fit
The candidate's extensive leadership roles at major tech companies suggest strong leadership, team management, and strategic thinking. Experience in '0->1, 1->100 launches' indicates a results-oriented and innovative mindset. The descriptions, while concise, imply a high level of operational effectiveness in large-scale AI initiatives.