🛠️ Building data infra for AI/ML. Ex-Data Scientist @Microsoft. Created DVC, now DataChain. PhD in CS. Serious about data. Less serious about everything else.

San Francisco, CA
Joined October 2011
Claude Code and Codex were built for weightless data. Physical AI data has mass. My talk on the other physics of agents: youtube.com/watch?v=bUJgirn4…
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Coding-agent intuition breaks down on physical-world data That’s my AI Engineer World’s Fair Online Track talk this week. See you there! I’ll be the guy in the Villain-Con shirt 😄
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Claude and ChatGPT are both down. Tokenmaxing seems to work.
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Replying to @ChiefScientist
This is how we vibe coded in 2000s
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Talked about data agents beyond SQL at @pydatalondon today. Files, video, sensors, metadata, Python workflows - all the messy stuff where real data work happens. Thanks everyone who came by 🙌
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AI isn't just about text and code. What about sounds, videos, and sensors? 🎧🎬🔬 I’ll be at @MLOpsWorld Summit (Oct 6-9 in Austin, TX) sharing how to query inside the file ⚡️ Come nerd out with me in Texas 👋🤠 #MLOpsWorld2025
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Replying to @GrunerMonzon
Totally! WebDataset is awesome - you can grab just the files you need + stream them in parallel. 🚀 No need in pulling a whole chunk of records/files. Great for training at scale. The only trade-off: data visibility - since it's all tarballs, you need extra tooling to peek inside 👀 This is how it looks in datachain UI:
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There's a trap I see AI/ML teams fall into with video, audio, and multimodal data. 🎥🎧👽 I wrote a blog post about it (with memes). In 🧵
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