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AI Product Builder
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Stanford University
Master of Science (M.S.) in Computer Science
January 1, 2015 – January 1, 2016
Stanford University
Bachelor's degree, Management Science and Engineering
January 1, 2011 – January 1, 2015
Nubank
AI Capabilities, Product and ML
January 1, 2024 – January 1, 2026
San Francisco Bay Area
UiPath
Sr Director of Product - AI Platform
January 1, 2020 – January 1, 2024
San Francisco Bay Area
ForgeRock
Head of Data Science and Artificial Intelligence
February 1, 2018 – September 1, 2020
San Francisco Bay Area
Stella.ai
Founding Engineer
October 1, 2016 – February 1, 2018
Mountain View
Stanford School of Medicine
Graduate Artificial Intelligence Researcher and Engineer
August 1, 2016 – December 1, 2016
Stanford, CA
Frontier Data Science
Co-Founder, Data Science Consultant
June 1, 2016 – April 1, 2017
Palo Alto, California
Stripes Group
Growth Technology and Consumer Investor
June 1, 2015 – August 1, 2015
New York City Metropolitan Area
Stanford University
Graduate Teaching Assistant
March 1, 2015 – December 1, 2016
Accel Partners
Venture and Growth Fund
October 1, 2014 – October 1, 2015
Palo Alto
Stanford Center For Image Systems
AI Engineer
April 1, 2013 – June 1, 2016
Stanford University · On-site
Stanford University Medical Center
Intern/ Research Assistant
January 1, 2012 – June 1, 2012
Stanford, CA
Cultural Fit Analysis
The candidate has a strong background in AI/ML, which aligns with data-driven cultures. However, the target role is 'Data Analyst', which is a significant step down from their extensive senior leadership and founding engineer roles in AI/ML. This discrepancy in seniority and focus (AI product leadership vs. data analysis) suggests a potential mismatch in cultural fit for a typical Data Analyst role, unless the role has a strong strategic AI/ML component. The breadth of experience across startups, large corporations, and academia indicates adaptability.
Soft Skills & Operational Fit
The candidate's resume highlights leadership, team building, and strategic planning in AI product development. Experience in collaborating with CTOs and developing go-to-market strategies suggests strong communication and operational alignment skills. The role as a teaching assistant also indicates an ability to explain complex concepts.