Jan Chorowski is a CTO and co-founder with 11 years of experience turning deep learning research into production-grade Live AI systems, currently leading Pathway from Paris to deliver real-time data processing and adaptive AI used by NATO, La Poste and Formula 1 teams. He transitioned from an academic career as an Associate Professor and Google/Mila researcher specializing in attention-based speech models to building the engineering organization and next-generation AI platform. Hands-on in backend development and open-source, he has driven Pathway’s LLM integrations and contributed major features to the pathway and llm-app repos that simplify RAG, vector stores and live data connectors. Jan blends rigorous PhD-level research in neural networks with product-oriented system design, enabling teams to ship low-latency, continuously learning AI without re-platforming. He is known for pragmatic refactors, strong testing and documentation practices, and a knack for making complex ML infrastructure reliably operable.
11 years of coding experience
8 years of employment as a software developer
Master of Science (MSc) Electrical and Electronics Engineering, Master of Science (MSc) Electrical and Electronics Engineering at Wrocław University of Science and Technology
University of Wroclaw
Doctor of Philosophy (PhD) Electrical and Electronics Engineering Neural Networks, Doctor of Philosophy (PhD) Electrical and Electronics Engineering Neural Networks at University of Louisville
Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. 🐳Docker-friendly.⚡Always in sync with Sharepoint, Google Drive, S3, Kafka, PostgreSQL, real-time data APIs, and more.
Role in this project:
Back-end Developer
Contributions:9 reviews, 9 PRs, 14 pushes in 1 year 5 months
Contributions summary:Jan contributed significantly to the `llm-app` repository, primarily focused on the backend and integrating with various data sources. They enhanced the existing examples by improving clarity and formatting. A major part of their work involved refactoring and adding features to the drive_alert functionality, specifically in integrating with Slack alerts and Google Drive. They also worked on general cleanup, documentation, and updates to the README files.
Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
Role in this project:
Back-end Developer
Contributions:9 commits, 1 PR, 10 pushes in 29 days
Contributions summary:Jan primarily contributed to the development of the Pathway LLM xpack, a collection of UDFs for integrating LLMs within the Pathway framework. Their work involved creating OpenAI and LiteLLM embedder UDFs, along with related vector store functionality. The user also refactored components, added logging, and improved testing, with a focus on enhancing the framework's LLM capabilities.
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.
Request Free Trial
Jan Chorowski - Chief Technology Officer at Pathway