Summary
Michal Pawlowski is an experienced ML/AI and computer vision engineer with 17 years of software development background, currently focused on LLM research and agentic systems. He combines production-grade engineering (Python, FastAPI, React, Rust) with applied research—recently shipping NeRF/Gaussian Splatting pipelines for VFX and high-fidelity scene reconstruction used in a feature film. During a sabbatical pivot to LLMs he built a multi-layer memory coaching app, a model-benchmarking CLI/REST tool, and an educational agentic loop framework, demonstrating strong system design and reproducibility practices. Prior roles span data engineering, ETL and forecasting automation in pharma, end-to-end SaaS and e-commerce platforms, and hands-on architecture consulting. Michal holds a PGCert in Software Engineering from Oxford and a BSc from the University of Warsaw, and is equally comfortable translating cutting-edge papers into production as he is shipping robust developer tooling. A pragmatic tinkerer, he often favors clean abstractions, full type annotations, and pluggable persistence that make research systems maintainable in the long run.
17 years of coding experience
20 years of employment as a software developer
PGCert Software Engineering, PGCert Software Engineering at University of Oxford
BSc General Programming, Database design, BSc General Programming, Database design at University of Warsaw
English, Polish