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AI/ML Researcher | Angel Investor
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
ML Scientist / Engineer with 10+ years experience. I've used Machine Learning across many different industries: ML for search ranking at eBay; ML for advertising at Amazon; ML for time series forecasting at Uber; reinforcement learning at JP Morgan for trading algorithms; and 3 years in the defense and biotech sectors doing machine learning, computer vision, signal processing, detection and estimation. As an angel investor, I like supporting visionary founders, high-potential companies, and groundbreaking technologies.
Columbia University
Master of Science - MS, Computer Science
January 1, 2017 – January 1, 2019
University of California, Berkeley
BA, Astrophysics
January 1, 2009 – January 1, 2013
MATS Research
MATS Scholar
September 1, 2025 – Present
Supervised Program for Alignment Research
AI Researcher
January 1, 2025 – Present
New York Angels
Member | Investor
January 1, 2025 – Present
eBay
Applied Researcher
February 1, 2021 – Present
San Francisco Bay Area
Amazon
Applied Scientist Intern
January 1, 2019 – January 1, 2019
Palo Alto
J.P. Morgan
Machine Learning Intern
January 1, 2018 – January 1, 2018
New York
Uber
Data Science Intern
January 1, 2018 – January 1, 2018
San Francisco
Natera
Data Scientist
January 1, 2016 – January 1, 2017
San Francisco Bay Area
Areté Associates
Research Scientist
January 1, 2014 – January 1, 2016
Greater Los Angeles Area
Cultural Fit Analysis
The candidate demonstrates a strong inclination towards advanced AI/ML research and application, with roles spanning various domains (e.g., e-commerce, finance, biotech, defense). This diversity suggests adaptability and a broad interest in applying ML to different challenges. The recent focus on AI mechanistic interpretability aligns with a forward-thinking, research-oriented culture. However, the lack of explicit project details or community involvement makes it difficult to fully assess cultural fit beyond technical alignment.
Soft Skills & Operational Fit
The candidate's resume highlights roles involving research, design, and development of complex algorithms and pipelines, suggesting strong problem-solving, analytical, and independent work capabilities. The descriptions, while technical, are concise, indicating a focus on results. However, direct evidence of collaboration, leadership, or communication soft skills is not explicitly detailed in the provided data.