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Applied AI| GenAI Product Development
Experienced technical leader in Machine/Deep Learning with proven track record across the full spectrum of research maturity levels, from proof-of-concept to final product. Hands-on individual contributor with strategic vision to translate customer needs into design specifications. Inventive mindset with extensive body of research outcomes in the form of patents and scientific publications. A team player with an experience working in scrum teams of software developers and research scientists in an agile environment. Skills: proficient with Python and Machine/Deep Learning/Big Data toolkits; familiar with C/C++.
University of Rochester
Doctor of Philosophy (Ph.D.), ECE
January 1, 2006 – January 1, 2012
University of Rochester
Master of Science (MS), Electrical Engineering
January 1, 2006 – January 1, 2007
Bilkent University
Bachelor of Science (BS), Electrical and Electronics Engineering
January 1, 2001 – January 1, 2006
JPMorgan Chase & Co.
Applied AI/ML Lead, GenAI Product Development
November 1, 2021 – Present
Columbus, Ohio Metropolitan Area
General Motors
Principal AI/ML Scientist
September 1, 2016 – November 1, 2021
PARC
Member of Technical Staff
June 1, 2014 – September 1, 2016
Xerox
Member of Technical Staff
November 1, 2011 – June 1, 2014
Xerox Research Center Webster
Research Intern
May 1, 2011 – August 1, 2011
University of Rochester
Research Assistant
September 1, 2006 – November 1, 2011
Cultural Fit Analysis
The candidate has a strong background in research and applied ML within large corporate environments. The project diversity is not explicitly detailed, making it difficult to fully assess breadth of experience beyond the listed roles. The long tenure at previous companies suggests stability. However, without specific project details, it's hard to gauge alignment with a potentially more agile or startup-like culture if that were the case.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights into logical reasoning, work attitude, stress handling, or team collaboration.