Skip to content
GRP
  • Projects
  • Blog
  • About
  • Cheat Sheets
  • Resume
  • Instagram
  • Spotify
  • Facebook
  • LinkedIn
  • GitHub

Projects

Things I built, and what building them taught me — including the parts that went wrong. Written for someone who wants to know how the decisions were made, not just which technologies ended up on the list.

  • The platform behind this site

    2025 – present

    An LLM gateway with real spend controls, an Avro-typed streaming pipeline, single sign-on, and a host reproducible from one playbook. This site is the visible tenth of it.

    FastAPILiteLLMKafkaAvroRedisCelery+5 more

    Read the write-up
  • Reinforcement learning the exit decision

    2026

    A Q-learning agent that decides, quarter by quarter, when a leveraged buyout should sell — trained live in your browser on a stochastic LBO, with the learned policy, the Bellman updates and the baselines all visible.

    TypeScriptQ-learningCanvasMonte Carlo

    Read the write-up
  • Deep learning for Korali

    2022 · MSc thesis, ETH Zürich

    A deep-learning module for a high-performance scientific computing framework, verified and benchmarked against cuDNN, oneDNN, PyTorch and TensorFlow.

    C++CUDAcuDNNoneDNNPyTorchTensorFlow+2 more

    Read the write-up
  • GPU-accelerated Bayesian inference

    2021 · Semester project, ETH Zürich

    Moving the dense linear algebra behind approximate Bayesian inference onto the GPU, and measuring where that actually pays off.

    CUDAcuSOLVERC++Rnvprof

    Read the write-up
Explore
  • Projects
  • Blog
  • About
  • Cheat Sheets
  • Resume
Contact
  • pollakgeorg@gmail.com
  • LinkedIn
  • GitHub
Legal
  • Impressum
  • Datenschutz
  • Sign in

Mödling, Lower Austria

© 2026 Georg R. Pollak