Dmitry Petrov
@FullStackML
🛠️ Build data tools for AI / ML. Ex-Data Scientist @Microsoft. PhD in CS. Telling jokes with a poker face.
내가 좋아할 만한 콘텐츠
DBT + Fivetran 🚀 A huge milestone for the "modern data stack". Consolidation is on - who's next? Snowflake ❄️? Databricks 🔥? But maybe that doesn’t even matter. The next wave is here: Multimodal data stack It's not replacing the old one - it's for different users: 🤖 AI, not…
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
"90% of code will be AI-written" 🤖 Sounds insane - until you see the pattern. When the building blocks exist, coding is just connecting the dots 🔗 And nobody connects dots better than AI. That’s why AI crushes boilerplate web apps 🛠️ - the blocks are there. And why it…
Spent the weekend reading this. Easily the best agentic book so far. My agent recommends I read more. Any suggestions?
This Google engineer just released a 424-page free book on Agentic Design Patterns. Covers advanced prompt engineering, multi-agent frameworks, RAG, agent tool use and MCP. 100% free with practical code examples.
To stay ahead of the curve in vibe-coding you must rotate IDEs every 2 months Cursor → Claude → Cursor → (???) → repeat. Productivity is temporary, but vibes are forever 😎✨
"Heavy Data": messy, multimodal, and lives in object storage, not databases. This term I first heard from @RobFergusonIII - it nails it! Time to rethink how we manage and query heavy data. datachain.ai/blog/from-big-…
2.5 years into the AI craze, and I continue to firmly believe that if your company wasn’t already interesting/succeeding without AI, then doing “whatever plus AI” isn’t going to save you. For the few that seem this way (eg Cursor), I think their moat is a lot weaker than it…
DataChain enables reproducibility. It versions and tracks dependencies, code. A quick demo from @FullStackML :
Best Python libraries of 2024 – 10th edition! 🔥 Excited to see DataChain ranked at the top in AI/Data reddit.com/r/Python/comme…
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From the Python community on Reddit: The hand-picked selection of the best Python libraries and...
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Making sense of millions of audio files! An incredible use case for extracting actionable insights from complex data.
A small DataChain video on processing audio data from @huggingface with 🤗 models. We need more tools to do ETLs, analytics, governance, preparation for unstructured data at scale! - stream files from tar or wds archives! 🤯 - enrich, prepare, version, publish datasets 🚀 -…
🚀 datachain
After trending in Hacker News, our open-source is now trending in GitHub. What’s next - Netflix special? github.com/iterative/data…
Now you can publish datasets from DataChain to @huggingface with a single command! ...because who has time for two? 🚀📚
Datasets + LLMs + Pydantic = DataChain ...now with @huggingface !💛 DataChain by @DVCorg just added @huggingface support ! Create, Load, Transform HF Datasets with LLMs easily. - Pydantic for dataset schema - Use your own or public HF Datasets - Run your own or public HF Models
The Post-Modern Data Stack: Unleash the Power of Foundational Models - dataversity.net/the-post-moder… @Dataversity @iterative @DVCorg @FullStackML @JeckertNY
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