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Applied AI research, focused on agentic systems. >10 years’ experience in machine learning product strategy (in search, recommendations, curating research piplines, & more).
I work in the intersection of AI tech & product strategy, bringing both a deep technical understanding of machine learning / AI systems, as well as deep experience defining product vision & driving execution. Passionate about all things AI, from the math underpinning new techniques to their engineering implementation, and to their tangible (and often transformative) impact on organizations and society.
Brown University
ScB, Chemical Biology
N/A – Present
University of Wisconsin-Madison
Mathematics, Chemistry studies
N/A – Present
Principal Product Manager, Agentic AI
May 1, 2026 – Present
San Francisco Bay Area · Hybrid
dangr.ai
Sabbatical & Travel
September 1, 2024 – May 1, 2026
San Francisco, California, United States
Meta
Product lead for RecsML team at Instagram
January 1, 2023 – September 1, 2024
San Francisco Bay Area
Meta
Product for AI Relevance: Advanced Algorithms
June 1, 2021 – February 1, 2023
San Francisco Bay Area
Airbnb
Product for Relevance (Search Ranking, Recommendations, and more)
October 1, 2019 – June 1, 2021
San Francisco Bay Area
Etsy
Staff Product Manager: AI Search & Ranking
July 1, 2018 – October 1, 2019
San Francisco Bay Area
Sizmek (formerly Rocket Fuel, Inc.)
Senior Product Manager: Artificial Intelligence
March 1, 2017 – July 1, 2018
San Francisco Bay Area
Rezrov Lab
Co-Founder: AI Development and Strategy
November 1, 2016 – March 1, 2017
San Francisco Bay Area
Simon-Kucher & Partners
Manager
June 1, 2012 – March 1, 2017
San Francisco, CA
Brown University
Biochemistry Research
June 1, 2009 – May 1, 2012
Providence County, Rhode Island, United States
Cultural Fit Analysis
The candidate's extensive experience across multiple prominent tech companies (Meta, Airbnb, Etsy, LinkedIn) and their involvement in AI safety research (Constellation) indicate adaptability and a broad perspective. Their leadership roles in driving innovation and mentoring suggest a collaborative and growth-oriented cultural fit. However, the target role is 'NLP Engineer', while the candidate's experience is predominantly in Product Management for AI/ML. While they have a strong background in AI/ML strategy and some early hands-on AI development, the direct engineering experience in NLP is not explicitly detailed in recent roles, which might be a gap for a pure engineering role.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership, strategic thinking, and cross-functional collaboration skills. Their experience in defining KPIs, managing complex technical roadmaps, and communicating AI concepts to non-technical stakeholders indicates excellent operational fit for a senior role. The sabbatical for AI safety exploration also suggests a proactive and learning-oriented mindset.