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VP of AI at Sigma | Hiring in SF & NY
I'm currently the VP of AI at Sigma Computing. I previously led AI/ML engineering, research and product teams at Scale AI, Unity and EA. In those roles, I had the unique opportunity to build multiple new AI/ML products and infrastructure ranging from recommendation engines, to reinforcement learning systems that learn to play games and infrastructure for training and deploying foundation models. I've also advised numerous VC firms and technology startups through my own AI/ML consultancy. I hold 15 patents, published 10 papers, and organized workshops at AAAI and NeurIPS. I earned my Ph.D. in Computer Science from UMass Amherst, specializing in machine learning.
University of Massachusetts Amherst
PhD, Computer Science
January 1, 2007 – January 1, 2013
University of Massachusetts Amherst
Master of Science, Computer Science
January 1, 2005 – January 1, 2008
University of Massachusetts Amherst
Bachelor of Science (Honors), Computer Science and Mathematics
January 1, 2002 – January 1, 2005
Sigma
Vice President of Artificial Intelligence
April 1, 2025 – Present
San Francisco, California, United States
Mattar Labs
Founder
February 1, 2023 – March 1, 2025
San Francisco, California, United States
Scale AI
Director, AI/ML Infrastructure
December 1, 2021 – January 1, 2023
San Francisco, California, United States
Unity Technologies
Senior Manager, Machine Learning
December 1, 2017 – December 1, 2021
San Francisco, California, United States
Electronic Arts (EA)
Tech Lead / Senior Scientist
March 1, 2014 – December 1, 2017
San Francisco Bay Area
Engineering Intern
June 1, 2012 – September 1, 2012
Research Intern
June 1, 2011 – September 1, 2011
Engineering Intern
June 1, 2010 – September 1, 2010
IAVO Research Scientific
Research Intern
June 1, 2005 – August 1, 2005
Amherst, MA
University of Massachusetts Amherst
Teaching Assistant / Instructor
September 1, 2003 – December 1, 2013
University of Massachusetts Amherst
Research Assistant
January 1, 2003 – December 1, 2013
Cultural Fit Analysis
The candidate has a strong background in AI/ML leadership and research, which aligns with innovative and data-driven cultures. However, the target role is 'Data Analyst', which is a significant shift from their current and past senior leadership and research-focused AI/ML roles. While the candidate possesses strong analytical skills from their ML background, the specific day-to-day responsibilities and scope of a Data Analyst role might be a mismatch for someone with VP/Director-level experience in AI/ML. The breadth of skills is high in AI/ML, but the direct relevance to a dedicated Data Analyst role (e.g., specific BI tools, advanced SQL for reporting, dashboarding) is not explicitly detailed in the resume. The project diversity is strong within AI/ML, but less so for traditional data analysis tasks.
Soft Skills & Operational Fit
The candidate's extensive leadership experience suggests strong communication, team collaboration, and strategic thinking. Roles as Founder and VP indicate entrepreneurial drive and high-level decision-making capabilities. The academic background as a Teaching Assistant also points to strong explanatory and mentorship skills. The descriptions of leading diverse teams (engineering, research, product, technical artists) demonstrate operational fit for complex, cross-functional environments.