Summary
Jakub Švehla is an AI engineer and full-stack data scientist based in Prague with over a decade of experience building and deploying ML and data platforms across startups, academia, and enterprise. He has led data science teams, taught distributed data mining and Python courses, and delivered production ETL/ML pipelines on clouds like Azure while consulting for bio- and agro-tech clients. As founder of Simple Portfolio and a former senior data scientist at BridgeFund and Datamole, he blends hands-on modeling (pandas, scikit-learn, Spark) with product-minded leadership and client-facing problem framing. His background includes algorithmic trading, social media data engineering, and practical research collaborations, reflecting a knack for turning complex data problems into robust, production-ready solutions.
10 years of coding experience
13 years of employment as a software developer
Data Science, Data Science at The University of Texas at El Paso
Data Science, Data Science at 國立臺灣科技大學
Master's degree, Data Science, Master's degree, Data Science at Faculty of Information Technology CTU in Prague
Czech, English, Chinese, German, Spanish