František Sabovčik
Machine Learning Engineer at Conrad Electronic Group
Prague, Czechia
Summary
👤
Senior🎓
Top SchoolFrantišek Sabovčik is a Machine Learning Engineer with a decade of hands-on experience taking products from architecture through production polish, now applying that expertise at Conrad Electronic Group. He blends full-stack engineering and ML research, having led end-to-end cardiovascular ML projects during a PhD at KU Leuven and short-term collaborations at Stanford that focused on early disease prediction. His background spans production-ready React frontends, AWS-deployed microservices, ETL and privacy-preserving platforms, and optimized analytics over hundreds of millions of records. Comfortable moving between research and engineering, he has built event-driven systems (RabbitMQ), containerized deployments, and privacy-first ML platforms. Based in Prague, he is driven by a mission to use engineering and data to create tangible social good, particularly in cardiovascular healthcare. A less obvious strength is his proven ability to translate clinical and business requirements into robust, auditable ML pipelines and product features.
10 years of coding experience
17 years of employment as a software developer
PhD, PhD at KU LeuvenMaster's degree, Mathematical Methods in Informatics, Master's degree, Mathematical Methods in Informatics at Vysoké učení technické v Brně
Github Skills (159)
to-do10
blueprint10
calendars10
caldav10
signal10
pickle9
javascript9
python-development9
mlflow9
linux9
webdav9
ai9
evernote9
messenger9
apache-spark9
Programming languages (7)
Github contributions (5)
HCVE/hcve_lib
Nov 2021 - Feb 2023
Contributions:18 commits, 77 pushes, 1 tag in 1 year 3 months
sitnarf/pipeworker
Mar 2019 - Sep 2024
Simplistic framework for structuring data science and machine learning pipelines.
Contributions:2 PRs, 11 pushes, 4 branches in 5 years 6 months
pythonsciencedata-sciencepipeline-frameworkmachine-learning
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