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TLDR AI (1,000,000+ daily readers) 🤖 | Humans 💸 | Nova (acquired) 🚀
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Assessing your cultural and operational fit
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Stanford University
Master's degree, Computer Science
N/A – Present
Massachusetts Institute of Technology
Entrepreneurship
N/A – Present
University of California, Berkeley
Bachelor's degree, Computer Science (Honors), Statistics
N/A – Present
University of California, Berkeley, Haas School of Business
Bachelor's degree, Business Administration
N/A – Present
Humans
Founding Partner
January 1, 2024 – Present
San Francisco Bay Area
Anthropic
Investor
January 1, 2023 – Present
OpenAI
Investor
January 1, 2023 – Present
TLDR
TLDR AI & TLDR Founders
January 1, 2022 – Present
Handshake
AI Product Lead
January 1, 2022 – January 1, 2024
San Francisco Bay Area
Nova (acquired)
Founder & CEO
January 1, 2020 – January 1, 2024
San Francisco Bay Area
Sequoia Capital
Data Analyst
January 1, 2019 – January 1, 2020
Menlo Park, California, United States
AI PM
January 1, 2019 – January 1, 2019
Mountain View, California, United States
Ironfire Ventures
Investor
January 1, 2019 – January 1, 2019
San Francisco Bay Area
AQR Capital Management
Quantitative Portfolio Manager
January 1, 2018 – January 1, 2018
Greenwich, Connecticut, United States
Citadel Securities
Quantitative Researcher
January 1, 2017 – January 1, 2017
Greater Chicago Area
Berkeley RISE Lab
AI & Systems Researcher
January 1, 2017 – January 1, 2019
Berkeley, California, United States
Berkeley Artificial Intelligence Research
AI Researcher
January 1, 2016 – January 1, 2017
Berkeley, California, United States
Goodpoint.io
Co-Founder
January 1, 2015 – January 1, 2017
San Francisco Bay Area
Branch
Data Scientist & Growth Engineer
January 1, 2015 – January 1, 2016
Palo Alto, California, United States
Presidential Elections Analysis
November 1, 2016 – December 1, 2016
Collaborators: Abhinav Bhardwaj, Gavin Poe, Michelle Ko, Jerry Gao
Retail Data Innovation Project
March 1, 2016 – May 1, 2016
Worked alongside industry experts and UC Berkeley faculty to develop big data strategies for retailers. Provided recommendations on how to best deploy an annual budget of $1 million to optimize return on investment from the firm's data. Advised by Mike Olson (CSO at Cloudera), Shomit Ghose (Onset Ventures), Greg LeBlanc (Haas Business School), and Ikhlaq Sidhu (Sutardja Center at Berkeley).
Bear Maps
January 1, 2016 – January 1, 2016
Created a mapping and routing web application inspired by Google Maps using OpenStreetMap data. Features include display (QuadTree data structure), routing (A* search algorithm), search and autocomplete (Trie data structure), zooming, and dragging. Made with Java, deployed on Heroku.
Emote
January 1, 2015 – January 1, 2015
Mobile application and website that alerts and communicates the emotional state of at-risk students between parents, peers, teachers, and administration. Won 2nd Place at Startup Weekend Education SF.
Certificate in Entrepreneurship & Technology
UC Berkeley College of Engineering
June 25, 2026 – Present
Cultural Fit Analysis
The candidate's background is heavily skewed towards entrepreneurship, venture capital, and AI leadership/research. While this indicates a high degree of innovation and drive, their recent roles are less focused on hands-on backend engineering. Their diverse project portfolio, including academic research and startup ventures, suggests adaptability and a broad interest in technology. The fit for a pure 'Backend Engineer' role might require assessing their willingness to engage in deep technical implementation rather than strategic or leadership functions, which their resume primarily highlights.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership, strategic thinking, and entrepreneurial skills through their various founder and investor roles. Their experience in co-founding and leading AI teams suggests an ability to drive initiatives from 0 to 1. The involvement in venture capital and advisory roles indicates strong business acumen and networking capabilities. However, the provided data does not offer direct insights into day-to-day operational fit or specific team collaboration styles beyond leadership roles.