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Applied AI Research
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Bringing magic product experiences to life from applied AI research and cutting edge technologies.
Stanford University
Machine Learning
January 1, 2012 – Present
New York University
BA, Computer Science
January 1, 2000 – January 1, 2004
DoorDash
Applied AI Researcher
March 1, 2025 – Present
Hybrid
Rex
Head of Artificial Intelligence
June 1, 2024 – Present
New York, New York, United States · Hybrid
Muse
Chief Technology Officer
May 1, 2022 – June 1, 2023
New York City Metropolitan Area
Flowcode
Head of Innovation Labs and Machine Learning
March 1, 2021 – March 1, 2022
Manhattan, New York, United States
Squarespace
Staff Machine Learning Engineer & Team Lead
October 1, 2012 – February 1, 2020
New York City Metropolitan Area
GetGlue
Senior Software Engineer
June 1, 2011 – September 1, 2012
New York City
L-1 Identity Solutions
Senior Software Engineer
November 1, 2007 – June 1, 2011
Partsearch Technologies
Software Engineer
January 1, 2004 – January 1, 2007
Cultural Fit Analysis
The candidate has a diverse background across various companies, including startups (Muse, Flowcode, GetGlue) and larger enterprises (DoorDash, Rex, Squarespace). Their experience in founding innovation labs and leading cross-functional teams indicates an adaptable and collaborative approach. The focus on hypothesis testing and customer success aligns with a data-driven culture. The breadth of experience in different AI applications suggests a strong ability to adapt and contribute to various projects.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership, strategic thinking, and a product-oriented mindset, evidenced by creating AI roadmaps, leading innovation teams, and focusing on customer success metrics. Their experience in building and scaling engineering teams suggests strong operational fit for driving technical initiatives.