Stefan Grafberger
PhD Student at BIFOLD & TU Berlin, researching data management for ML. Previously worked with UvA, Microsoft GSL, Amazon Research, Oracle Labs, and others.
https://stefan-grafberger.com
- Very excited to share that I've started as a Software Engineer at Snowflake! 🥳 I’m also wrapping up my PhD: this week I’m at VLDB in London to present the last demo paper from my time as PhD student, and on September 17 I’ll defend my PhD in Amsterdam. Really looking forward to this next chapter!
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- Our demo "mlidea: Interactively Improving ML Data Preparation Code via 'Shadow Pipelines'" was accepted at VLDB! 🥳 We demo suggestions for ML pipelines, similar to IntelliJ code inspections or Grammarly suggestions youtu.be/ePGm1J6S2qk Joint work w/ @mersault.bsky.social @p-groth.bsky.social
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- Our vision "Towards Regaining Control over Messy ML Pipelines" was accepted for the DAIS workshop at ICDE! 🥳 Initial experiments show LLMs are promising for extracting declarative query plans from messy ML code. Joint work w/ @guangchen811.bsky.social @oovcharenko.bsky.social @mersault.bsky.social
- Please help spread the word by reposting! We've just created the official DEEM Workshop account: @deem-workshop.bsky.social
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- Our CIDR'25 paper "Towards Query Optimizer as a Service (QOaaS) in a Unified LakeHouse Ecosystem: Can One QO Rule Them All?" is now on ArXiv! Excited to have been a part of this project during my internship at Microsoft GSL! arxiv.org/pdf/2411.13704