VP of Autonomous Vehicles at GM. Angel Investor. AI and Robotics Engineering Leader. Author.
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 am making intelligent robots at scale a reality, one of the hardest engineering challenges of our generation. To address this challenge, we are combining AI and Robotics in a way that is pushing the boundaries of both disciplines.
University of Oregon
Doctor of Philosophy (PhD) [inc], Physics
N/A – Present
University of Oregon
Master of Science (M.S.), Mathematics
N/A – Present
University of Rochester
Bachelor of Science (B.S.), Physics
N/A – Present
University of Rochester
Bachelor of Arts (B.A.), Mathematics, Economics
N/A – Present
University of Oregon
Master of Science (M.S.), Physics
N/A – Present
General Motors
Vice President. Head of Autonomous Vehicles.
November 1, 2025 – Present
San Francisco, California, United States
Diligent Robotics
Chief Technology Officer
August 1, 2025 – October 1, 2025
San Francisco Bay Area
Cruise
Vice President. Head of AI and Robotics.
January 1, 2020 – July 1, 2025
San Francisco, California, United States
Publicis Sapient
Group VP and Global Head of AI and Robotics
January 1, 2015 – January 1, 2020
Publicis Sapient
Sapient Fellow
October 1, 2011 – January 1, 2020
Publicis Sapient
Vice President of AI & Data Engineering
January 1, 2011 – January 1, 2015
Publicis Sapient
Sr. Engineer to Director of Engineering
February 1, 1998 – December 1, 2010
NetMetrics
Founding Applied Scientist
July 1, 1997 – February 1, 1998
Institute for Theoretical Science
Research Fellow
October 1, 1994 – June 1, 1997
Los Alamos National Lab
Research Fellow
April 1, 1994 – September 1, 1994
1 Certificate in Deep Learning
Massachusetts Institute of Technology
June 24, 2026 – Present
3 Certificate in Data Science
Massachusetts Institute of Technology
June 24, 2026 – Present
4 Certificate in Big Data Engineering
Rice University
June 24, 2026 – Present
2 Certificate in Computer Vision
Carnegie Mellon University
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's background is heavily skewed towards AI, Robotics, and leadership roles, which might not directly align with a typical Backend Engineer role focused on core backend systems, APIs, and data persistence. While their technical depth is undeniable, the specific domain expertise and leadership focus suggest a potential mismatch for a hands-on backend engineering position. Their experience in diverse companies (startups, large corporations) shows adaptability, but the target role requires a different technical focus.
Soft Skills & Operational Fit
The candidate's career trajectory demonstrates strong leadership, strategic thinking, and the ability to manage and scale complex technical teams. Their experience in delivering groundbreaking products suggests excellent problem-solving and operational execution skills. The transition from research to engineering leadership indicates adaptability and a strong drive for practical application.