Summary
Pavel Halbich is an AI software engineer with a decade of experience building production-grade systems where large language models meet robust backend engineering. He has delivered end-to-end AI applications as a solo developer at PPF Group—prototyping in Python/Streamlit and productionizing them as Java/Quarkus services with LangChain4j and React—owning architecture, code, and deployment. His work spans RAG pipelines, custom hierarchical chunking, embedding and transcription GPU microservices, and evaluation tooling for model selection, reflecting a focus on measurable, production-ready ML solutions rather than demos. Earlier senior backend roles at MallGroup and Celonis cemented his expertise in distributed backends, API design, and scaling across multiple countries and cloud providers. Based in Prague, Pavel is most valuable at the intersection of AI and backend systems, shipping reliable services that integrate LLM orchestration, tool calling, and operational pipelines.
10 years of coding experience
11 years of employment as a software developer
Gymnázium Žďár nad Sázavou
Bakalář (Bc.), Informatika, Bakalář (Bc.), Informatika at Univerzita Karlova v Praze