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VP of Product & Head of Open Source | Ex: Meta, Google, Amazon
I'm the VP of Product & Head of Open Source at Reflection AI, where I'm building the product vision and open-source ecosystem for the next generation of frontier AI. My focus is on making powerful models not just performant, but genuinely open, composable, and accessible to the developers and researchers pushing intelligence forward. Before Reflection, I spent years at Meta shaping the strategy behind some of the most consequential open AI efforts in the industry. As a Product Director at Super Intelligence Labs, I led product across Llama, PyTorch, and Meta's broader agentic AI stack—spanning reinforcement learning, distributed compute, and edge deployment. Earlier, as part of FAIR (Fundamental AI Research), I founded the AI for Science org, bridging frontier research with real-world impact across domains like protein folding, materials discovery, and complex reasoning systems. One principle has been consistent across all of it: superintelligence should be open, safe, and accessible to everyone. Openness creates resilience, diversity of ideas, and faster progress—values that defined PyTorch, shaped Meta's AI leadership, and now drive my work at Reflection. I'm also an angel investor and advisor to early-stage startups building frontier AI systems, open models, and developer tools. I enjoy helping founders navigate product-market fit, technical strategy, and community growth—especially those who share a vision for openness and long-term ecosystem impact. At the intersection of research, infrastructure, and product, I'm focused on building the connective tissue for the next era of AI—an agentic, collaborative, and distributed intelligence that scales from labs to the world.
Stanford University
Innovation and Entrepreneurship Program
January 1, 2013 – January 1, 2015
University of Denver - Daniels College of Business
MBA, International Business
January 1, 2003 – January 1, 2005
University of Denver - Daniels College of Business
Master of Science (M.S.), Finance
January 1, 2003 – January 1, 2005
Michigan State University
Bachelor of Science (B.S.), Electrical Engineering
January 1, 1995 – January 1, 2000
Reflection AI
VP of Product & Head of Open Source
March 1, 2026 – Present
PyTorch
Core Maintainer
January 1, 2026 – Present
Genesis Molecular AI
Advisor
January 1, 2026 – Present
Inferact
Advisor
October 1, 2025 – Present
Sequoia Capital
Limited Partner
September 1, 2025 – Present
General Reasoning
Angel Investor
June 1, 2025 – Present
Evertune AI
Angel Investor
June 1, 2025 – Present
LMArena
Advisor
February 1, 2025 – Present
PyTorch
Board Member
October 1, 2024 – Present
Reflection AI
Angel and Advisor
September 1, 2024 – Present
vijil
Advisor
July 1, 2024 – Present
San Francisco Bay Area
Answer.AI
Angel Investor
April 1, 2024 – Present
EvolutionaryScale
Angel Investor
September 1, 2023 – Present
San Francisco Bay Area · On-site
Meta
Director of Product Management | Meta Super Intelligence Labs
July 1, 2023 – April 1, 2026
Contextual AI
Angel Investor
April 1, 2023 – Present
Palo Alto, California, United States
lastmile ai
Angel Investor
April 1, 2023 – Present
Palo Alto, California, United States
Director of Product Management
January 1, 2023 – August 1, 2023
Mountain View, California, United States
Product School
Guest Lecturer
March 1, 2022 – April 1, 2022
Menlo Park, California, United States
AI Learning Alliance
Co-Founder
February 1, 2022 – Present
Menlo Park, California, United States
Anthropic
Angel Investor
May 1, 2021 – Present
San Francisco Bay Area
Canvas Ventures
Executive In Residence
April 1, 2021 – February 1, 2024
Portola Valley, California, United States
Lightning AI
Advisor
October 1, 2020 – Present
Palo Alto, California, United States
Meta
Director of Product Management - Artificial Intelligence
January 1, 2018 – January 1, 2023
Menlo Park, California, United States
Amazon Web Services
Head of AI Partnerships
September 1, 2017 – January 1, 2018
Udacity
Advisor - Artificial Intelligence
July 1, 2017 – April 1, 2021
Amazon Web Services
Manager, AI Platform Product Mgmt
September 1, 2016 – September 1, 2017
Intel Corporation
Director of Machine Learning Strategy
June 1, 2014 – August 1, 2016
Intel Corporation
Product Manager - Media, Graphics & Deep Learning
June 1, 2013 – June 1, 2014
Intersil Corp.
Sr. Product Line Manager
November 1, 2011 – June 1, 2013
Milpitas, CA
Sigma Designs
Product Line Manager
July 1, 2010 – December 1, 2011
Pericom Semiconductor
Product Line Manager
February 1, 2008 – July 1, 2010
Gennum Corporation (Group acquired by Sigma Designs)
Product Line Manager
February 1, 2007 – February 1, 2008
Conexant Systems Inc.
Product Line Manager
May 1, 2006 – February 1, 2007
Motorola Inc.
Sr. Product Engineer / VLSI Design Engineer
May 1, 2000 – May 1, 2006
Machine Learning
Stanford University
June 24, 2026 – Present
Cultural Fit Analysis
The candidate demonstrates a strong entrepreneurial spirit and a broad network within the AI and tech startup ecosystem. Their involvement in various advisory and investor roles, coupled with leadership positions at major tech companies, suggests adaptability and a proactive approach to industry trends. The co-founding of the AI Learning Alliance indicates a commitment to diversity and equity, aligning with positive cultural values. However, the target role of 'FPGA Developer' is highly specialized and hands-on, which contrasts with the candidate's recent strategic and product-focused career trajectory. While their early career included VLSI design, the long gap in direct hardware development might pose a cultural fit challenge for a purely development-focused role.
Soft Skills & Operational Fit
The candidate's extensive experience in leadership, product management, and advisory roles suggests strong communication, strategic thinking, and collaboration skills. Their involvement in founding the AI Learning Alliance and guest lecturing indicates a commitment to knowledge sharing and community building. However, the resume primarily highlights product and strategic roles, with less emphasis on hands-on technical implementation in recent years, which might require further assessment for an FPGA Developer role.