Colin Flaherty
Angel Investor at *
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolColin F is an AI researcher-turned-operator and angel investor based in San Francisco, bringing seven years of experience across machine learning research, product engineering, and early-stage venture. A University of Chicago graduate in computer science (ML) and mathematics, he coauthored high-profile research including the Science Diplomacy CICERO paper and NeurIPS' MEGABYTE before joining Augment as a founding research scientist. At Augment he open-sourced a top-ranked coding agent (#1 on SWE-Bench-Verified, 750+ stars) and delivered a widely viewed conference talk, then helped scale the startup through a Sutter Hill-backed $1B valuation moment. He now balances hands-on product work on Augment’s founding team with scouting for Sequoia and personal angel investments alongside Benchmark, a16z, Sequoia and others. Colin combines deep lab-grade ML expertise with practical product and deal-making instincts, positioning him to identify research-to-product opportunities many investors miss.
8 years of coding experience
4 years of employment as a software developer
Bachelor of Science - BS Double major in mathematics and computer science with honors, Bachelor of Science - BS Double major in mathematics and computer science with honors at University of ChicagoThe Nueva School
汉语 （mandarin chinese）, English
Stackoverflow
796reputation
48kreached
4answers
10questions
Github Skills (27)
datasets10
negotiation10
machine-learning9
deep-learning9
nlp9
agent8
benchmark8
ai-agent8
vue-cli6
fetch-api6
alphabet6
nodejs6
vue6
json6
git6
Programming languages (5)
Github contributions (5)
facebookresearch/diplomacy_cicero
Nov 2022 - Jan 2023
Code for Cicero, an AI agent that plays the game of Diplomacy with open-domain natural language negotiation.
Contributions:1 review, 9 commits, 5 PRs in 2 months
nlpdiplomacyagentopen-domainai-agent
c-flaherty/ParlAI
Nov 2021 - Jul 2022
A framework for training and evaluating AI models on a variety of openly available dialogue datasets.
Contributions:1 PR, 42 pushes, 3 branches in 8 months
nlpfairness-mldeep-learningdatasetmachine-learning
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