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Machine Learning Engineer and Physicist
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Experienced machine learning (ML) engineer and applied researcher with a PhD in astrophysics. I have a successful 7+ year track record of excellence-from personally owning ML projects from the exploratory prototype phase to a full production software system, as well as 5+ years of building and leading data science and engineering teams.
UCLA
Doctor of Philosophy (Ph.D.), Physics and Astronomy
N/A – Present
California Polytechnic State University-San Luis Obispo
Bachelor’s Degree, Physics, Mathematics Minor
N/A – Present
TerraClear Inc
Senior Machine Learning Engineer
February 1, 2023 – Present
Bellevue, Washington, United States
Just Auto Insurance, Inc.
Machine Learning and AI Lead
June 1, 2020 – December 1, 2022
Los Angeles, California, United States
Genius Sports
Machine Learning Team Lead
June 1, 2017 – June 1, 2020
Santa Monica, CA
Second Spectrum, Inc.
Machine Learning Software Engineer
November 1, 2015 – June 1, 2017
Los Angeles, CA
Penn St. University Physics
Postdoctoral Researcher
September 1, 2013 – October 1, 2015
State College, PA
Bayesian Statistics: Techniques and Models
University of California, Santa Cruz
June 24, 2026 – Present
Financial Markets
Coursera
June 24, 2026 – Present
Generative Adversarial Networks (GANs) Specialization
Coursera
June 24, 2026 – Present
Kaggle Competitions Expert
Kaggle
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's diverse experience across different industries (insurance, sports, scientific research) and application areas (telematics, video analysis, predictive modeling, ad targeting) suggests adaptability and a broad interest in applying ML to various challenges. This diversity, combined with leadership roles, indicates a strong potential for cultural fit in dynamic and innovative environments. The continuous learning through certifications further supports a proactive and growth-oriented mindset.
Soft Skills & Operational Fit
The candidate's experience in leadership roles (ML/AI Lead, ML Team Lead, Software Coordinator) suggests strong soft skills in technical guidance, mentorship, and team oversight. The descriptions indicate an ability to work with various business units and spearhead initiatives, pointing to good communication and strategic thinking. The academic background and research experience imply strong problem-solving and analytical capabilities.