Lukas Haas is a product manager and former AI researcher with eight years' experience building ML-driven products and developer tools across Google DeepMind, Stanford AI Lab, and earlier roles at Google and startups. He currently leads post-training and agent work on Gemini—focusing on research tooling, search use, and factuality—while also scouting early-stage startups for Sequoia, blending product leadership with venture sensibilities. Technically hands-on, he contributes to open-source CI/CD, Zigbee device databases, and dependency automation projects, improving backend integrations, front-end performance, and developer workflows. His background spans deep learning research (CVPR-highlighted work), consumer health product work, and practical DevOps contributions, showing rare fluency between research, product strategy, and shipping robust engineering. Based in London, he pairs Stanford AI credentials with investment experience, frequently operating at the intersection of cutting-edge ML and real-world productization.
8 years of coding experience
3 years of employment as a software developer
Swiss Matura, Swiss Matura at Realgymnasium Rämibühl
International Baccalaureate, International Baccalaureate at International Baccalaureate
M.S. Computer Science (Artificial Intelligence), M.S. Computer Science (Artificial Intelligence) at Stanford University
A collaborative web application (virtual office) presented as a 16-bit RPG video game
Role in this project:
Front-end Developer
Contributions:3 reviews, 90 commits, 32 PRs in 10 months
Contributions summary:Lukas primarily focused on enhancing the front-end development aspects of the WorkAdventure project. Their contributions include pre-compiling the frontend and adding environment configuration scripts for managing different deployment environments. They also made significant changes to the project's build process by incorporating Vite and Svelte plugins, which improved the development workflow. The user was also responsible for addressing and resolving issues within the UI by fixing client connection issues in docker.
Woodpecker is a simple, yet powerful CI/CD engine with great extensibility.
Role in this project:
Back-end Developer & DevOps Engineer
Contributions:33 reviews, 38 commits, 77 PRs in 1 year 1 month
Contributions summary:Lukas contributed to the Woodpecker CI project by adding and improving linting tools and correcting spelling issues within the codebase. They also made changes to various remote integrations (Gitea, Gogs, Coding, Bitbucket Server, Bitbucket, and GitHub) indicating involvement in backend logic and CI/CD setup. The user's work included modifications to server-side components and build processes, improving code quality, and ensuring the project's functionality across different platforms.
devopsdockerwoodpeckercidrone-cidrone
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