MSc ETH Zürich · Computational Science & Engineering
I build agentic AI systems
and the infrastructure underneath them.
Five years of high-performance computing — teaching GPU programming at CSCS, benchmarking deep-learning frameworks, pushing Bayesian inference onto GPUs — now applied to LLM infrastructure and agentic systems in private equity.
Selected work
All projectsThe platform behind this site
An LLM gateway with real spend controls, an Avro-typed streaming pipeline, single sign-on, and a host reproducible from one playbook.
- FastAPI
- LiteLLM
- Kafka
- Postgres
- Ansible
Deep learning for Korali
A deep-learning module for a high-performance scientific computing framework, verified and benchmarked against cuDNN, oneDNN, PyTorch and TensorFlow.
- C++
- CUDA
- cuDNN
- oneDNN
GPU-accelerated Bayesian inference
Moving the dense linear algebra behind approximate Bayesian inference onto the GPU, and measuring where that actually pays off.
- CUDA
- R-INLA
- nvprof
Get in touch
Happy to talk about HPC, LLM infrastructure, or anything on this site.
pollakgeorg@gmail.com