Summary
Jaromir Salamon is a researcher and experienced data architect with 11+ years in enterprise data engineering and a 15+ year background in BI and ETL, now pursuing a Ph.D. in Machine Learning and NLP. He designs metadata-driven, reusable data assets and ontologies, building scalable PySpark pipelines across Azure Synapse and Palantir Foundry to improve data quality, observability, and governance. At Swiss Re he led company-wide standards like Data Exchange Agreements and observability reporting, and prototyped AIP-powered RAG and zero-shot classification pipelines to automate rule evaluation. Comfortable spanning research and production, Jaromir combines rigorous academic training with hands-on delivery of performance-tuned, production-ready data platforms. Based in Zurich, he is notable for turning complex lineage and governance challenges into repeatable, metadata-first solutions.
11 years of coding experience
18 years of employment as a software developer
MSc., Electrical Engineering, Measurement and Instrumentation, MSc., Electrical Engineering, Measurement and Instrumentation at Czech Technical University in Prague
Johns Hopkins University
Doctor of Philosophy (Ph.D.), Machine Learning and Natural Language Processing, Doctor of Philosophy (Ph.D.), Machine Learning and Natural Language Processing at University of West Bohemia, Pilsen
A school-leaving exam, Electrical Engineering, Information Technology and Automation, A school-leaving exam, Electrical Engineering, Information Technology and Automation at SPSE Karla IV. 13, Pardubice (Tecnical High School)
English, Czech, German