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VP / Engineer @ Thomson Reuters
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Assessing your cultural and operational fit
Brown University
Bachelor of Science (BS), Applied Mathematics
January 1, 2011 – January 1, 2015
Thomson Reuters
VP of Engineering
January 1, 2026 – Present
Thomson Reuters
Distinguished Engineer
November 1, 2024 – January 1, 2026
Allen Institute for AI (AI2)
Entrepreneur In Residence
November 1, 2022 – June 1, 2023
Materia AI
Co-Founder/CTO
October 1, 2022 – November 1, 2024
New York, New York, United States
Meta
Senior Machine Learning Engineer
March 1, 2019 – May 1, 2022
New York City Metropolitan Area
Startup
Startup
February 1, 2018 – December 1, 2018
New York City Metropolitan Area
Jet.com
Machine Learning Engineer
November 1, 2016 – January 1, 2018
O'Reilly Media
Partnered with O'Reilly Media to create Deep Learning with Tensorflow Video Series
October 1, 2016 – December 1, 2016
University of San Francisco
Summer Series in Analytics Speaker
June 1, 2016 – June 1, 2016
San Francisco Bay Area
Wiser Solutions, Inc.
Data Scientist
August 1, 2015 – September 1, 2016
San Francisco
Blue Jeans Network
Data Science Intern
June 1, 2014 – August 1, 2014
Mountain View, CA
Cultural Fit Analysis
The candidate has a diverse background spanning startups (Materia AI, Startup), large tech companies (Meta, Thomson Reuters, Jet.com), and academic/educational roles (O'Reilly Media, University of San Francisco). This breadth of experience suggests adaptability to various organizational cultures. The entrepreneurial spirit (Co-Founder/CTO, Entrepreneur In Residence) indicates a proactive and innovative mindset. However, the target role is 'Data Analyst', which is a significant shift from their extensive experience as a Machine Learning Engineer, CTO, and VP of Engineering. This misalignment raises questions about cultural fit for a potentially less senior or more focused analytical role, despite their strong technical background. The candidate's experience is heavily skewed towards advanced ML/AI engineering and leadership, which might be overqualified or misaligned with a pure Data Analyst role.
Soft Skills & Operational Fit
The candidate's resume indicates strong leadership and entrepreneurial skills (Co-Founder/CTO, Entrepreneur In Residence, VP of Engineering). Experience as a Tech Lead at Meta and leading ML products suggests strong problem-solving, project ownership, and collaboration skills. The descriptions of creating video series and giving talks also point to good communication and mentorship abilities. However, without specific psychometric test results, a detailed assessment of work attitude, stress handling, and team collaboration is not possible.