James Le

I help AI infrastructure startups cross the chasm

San Francisco, California, United States

About

Website: jameskle.com Podcast: datacast.simplecast.com Newsletter: datacast.substack.com Community: https://discord.gg/Sh6BRfakJa Tweets: twitter.com/le_james94 Blog: le-james94.medium.com Code: github.com/khanhnamle1994

Experience

  • Head of Developer Experience at Twelve Labs
    Feb 2023 - Present · 3 yrs 6 mos

    Twelve Labs is building multimodal foundation models for video understanding! Check out our blog: https://www.twelvelabs.io/blog Join our Discord community for Multimodal AI practitioners: https://discord.com/invite/Sh6BRfakJa

  • Developer Relations and Partnerships Lead at Superb AI Inc.
    Mar 2021 - Jan 2023 · 1 yr 11 mos

    • Produced technical content to facilitate the understanding of Superb AI platform’s capabilities by computer vision engineers and researchers. • Led partnerships with AI Infrastructure Alliance partners on joint content and product integration (WhyLabs, Pachyderm, CometML, Arize AI, and NVIDIA). • Evangelized the concept of DataOps for Computer Vision - which seeded the development of Superb AI’s DataOps platform. • Wrote technical whitepapers about data labeling, data management, and computer vision - which help product teams with product roadmap and go-to-market teams with marketing and demand-generation assets. • Collaborated closely with the community manager to design a community-led growth strategy that supports bottom-up adoption of Superb AI’s product. • Spoke at industry conferences and webinars on Computer Vision and AI to effectively represent the Superb AI brand externally.

  • Technology Evangelist at Full Stack Deep Learning
    May 2020 - Oct 2022 · 2 yrs 6 mos

    • Wrote in-depth notes for the most recent course in September 2022 that that thousands of practitioners have read. • Served as the Head Teaching Assistant for the course in March 2021. • Launched an online version of the full-stack deep learning course in May 2020 that brings ML from research into production.

  • Editor In Chief at Toronto Machine Learning Society (TMLS)
    Jan 2021 - Aug 2021 · 8 mos

    Wrote a weekly newsletter on the most impactful talks about Machine Learning in Production from past TMLS events.

  • AI Safety Researcher at AI Safety Camp
    Jan 2021 - Jun 2021 · 6 mos

    Conducted research on technical AI alignment: https://aisafety.camp/. Our team presented empirical demonstrations of the objective robustness failures in the deep reinforcement learning settings.