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Director of Platform at Vannevar Labs
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Stanford University
Master's degree, Electrical and Electronics Engineering
January 1, 2013 – January 1, 2015
University of Pennsylvania
BSE, Computer Engineering
January 1, 2009 – January 1, 2013
Vannevar Labs
Director of Engineering
July 1, 2025 – Present
St Louis, Missouri, United States · Remote
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Vice President of Engineering
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Ripcord
Director of Engineering, Machine Learning
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Engine ML
Co-Founder / CEO
May 1, 2018 – November 1, 2020
Uber Advanced Technologies Group
Machine Learning Engineer
August 1, 2016 – May 1, 2018
Otto
Machine Learning Engineer
June 1, 2016 – August 1, 2016
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drive.ai
Co-Founder / Software Engineer
April 1, 2015 – June 1, 2016
Mountain View, CA
Loon
Hardware Engineering Intern
June 1, 2013 – September 1, 2013
Mountain View, California, United States
Loon
Software Engineering Intern
June 1, 2012 – August 1, 2012
Mountain View, California
University of Pennsylvania
Teaching Assistant
August 1, 2011 – May 1, 2012
Cultural Fit Analysis
The candidate's background is heavily skewed towards Machine Learning Engineering and Engineering Leadership, with significant experience in autonomous vehicles and deep learning infrastructure. The target role is 'Data Analyst'. This represents a significant mismatch in career trajectory and core competencies. While the candidate has strong technical skills, their experience is at a much higher level of abstraction and leadership than a typical Data Analyst role, focusing on ML model development and engineering management rather than data analysis, reporting, or business intelligence. The diversity of projects is high within the ML/AI domain, but not aligned with data analysis.
Soft Skills & Operational Fit
The candidate's resume indicates strong leadership and entrepreneurial skills, suggesting initiative, strategic thinking, and the ability to drive projects from conception to execution. Experience as a Teaching Assistant also points to communication and mentorship abilities. However, without specific psychometric test results or interview data, a detailed assessment of work attitude, stress handling, and team collaboration is not possible.