JW

James Wu

Investor at First Round Capital

San Francisco Bay Area

Overview 

James Wu is currently an Infrastructure & AI/ML Investor at First Round Capital in the San Francisco Bay Area, with a background in machine learning, entrepreneurship, and product management. He has previously served as a Lead ML Scientist at Amperity and was a Co-founder & CEO at AdaptiLab, which was later acquired by CoderPad. Highlights of James Wu's career include his role as an Infrastructure & AI Investor at First Round Capital and his experience as a Lead ML Scientist at Amperity, showcasing his expertise in machine learning, data analysis, and product management.

Work Experience 

  • Infrastructure & AI Investor

    2022 - Current

    Investing in and supporting early stage AI, data, dev tools, and security companies. Joined as the first dedicated Infrastructure & AI investor to lead First Round's sector-specific expertise.

First Round Angel Track is a community of operators and founders looking to develop their skills and identities as early-stage investors.

  • Lead ML Scientist

    2021 - 2022

    Led production ML project to build new prediction models and feature engineering pipeline into AmpIQ product. Coauthored patent (filed) and research paper for customer lifetime value modeling.

Amperity is an Intelligent Customer Data Platform that empowers global consumer brands by unlocking all their customer data.

Raised $187,000,000.00 from Madera Technology Partners, Declaration Partners, Madrona, Tiger Global Management and HighSage Ventures.

  • Cofounder & CEO

    2018 - 2021

    B2B SaaS startup growing machine learning teams from hiring to productivity with the first online code editor for ML ("Replit for ML"). $2.5m raised. Built in Seattle Top 50 Startups to Watch 2020.

AdaptiLab is a B2B, SaaS, machine learning, and recruiting company.

Raised $2,137,500.00 from Trilogy Equity Partners.

  • Freestyle Engineering Fellow

    2017 - 2018

    Worked as a SWE at portco Adstage (acq by TapClicks), assisted diligence, sourcing, industry research.

Freestyle is a venture capital firm that focuses on early-stage technology companies.

  • Machine Learning Researcher

    2016 - 2018

    Worked on three publications/projects: -Survey of machine learning techniques in resource-constrained scenarios (Prof. Cynthia Rudin) -Integrated system for private access to large-scale, confidential data (Prof. Jerry Reiter) -Low-memory signal processing on IOT devices (Prof. Peter Hoff)

  • Lead Machine Learning Engineer

    2015 - 2018

    Research incubator spinout from Duke awarded $1.6m Dept of Defense MINERVA grant. Built Hermes, an AI-powered computational security and simulation tool. Assembled and ran development team and contributed to multiple grants and publications. First engineer on the team -> Lead MLE.

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