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Global Head of AI @ Optiver
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Foundation modeling & AI platform
The Johns Hopkins University
Doctor of Philosophy (Ph.D.), Computer Science
January 1, 2009 – January 1, 2015
The Johns Hopkins University
Master of Science (MS), Computer Science
January 1, 2009 – January 1, 2011
Bilkent University
Bachelor of Engineering (BEng), Computer Science and Engineering
January 1, 2005 – January 1, 2010
Optiver
Global Head of AI
June 1, 2026 – Present
New York, NY · On-site
Apple
Head of Foundation Modeling Research & Platform @ Apple Services Engineering
February 1, 2019 – June 1, 2026
Uber
Machine Learning Engineer
January 1, 2018 – January 1, 2019
San Francisco Bay Area
MITRE
Senior Computer Scientist
May 1, 2014 – December 1, 2017
Johns Hopkins University
Teaching Assistant
September 1, 2011 – May 1, 2012
Johns Hopkins University
Research Assistant
September 1, 2010 – May 1, 2016
Johns Hopkins University
PhD Student
August 1, 2009 – May 1, 2016
Hewlett-Packard
Intern
June 1, 2006 – August 1, 2006
Cultural Fit Analysis
The candidate's background is heavily skewed towards AI, Machine Learning, and Computer Science research and leadership. While this demonstrates a strong technical foundation, the target role is 'Data Analyst'. This represents a significant mismatch in career trajectory and specialization. The candidate's experience is at a much higher, strategic, and research-focused level than a typical Data Analyst role, which often involves more direct data manipulation, reporting, and business intelligence. This could lead to a lack of engagement or overqualification for the specified role.
Soft Skills & Operational Fit
The candidate's resume indicates strong leadership and research capabilities, suggesting a proactive and analytical approach. The descriptions of roles at Apple and Uber highlight experience with complex ML systems and platforms, implying strong problem-solving and architectural thinking. However, without psychometric test results, specific soft skills like teamwork, stress handling, or communication clarity cannot be objectively assessed.