Daniel Kucharczyk
Quantitative Technology Director
Wrocław, Lower Silesian Voivodeship, Poland
Summary
👤
Senior🎓
Top SchoolDaniel Kucharczyk is a Quantitative Technology Director and cloud/data engineer with eight years of applied experience building production-grade ML, GenAI, and low-latency quantitative systems for finance and life sciences. He holds a Ph.D. in applied mathematics, serves as a university lecturer, and combines deep theoretical grounding with hands-on cloud xOps and Kubernetes architecture work. Daniel has led platform and execution-analytics teams across hedge fund, pharma, and streaming-data startups, architecting bare-metal Kubernetes, real-time pipelines, and NLP-driven research platforms. He is certified as both a Financial Risk Manager and a Professional Risk Manager, bringing rigorous risk-first thinking to system design and model deployment. As a strategic CTO advisor he helps growing companies turn advanced ML/AI research into resilient, compliant cloud services. An understated strength is his ability to translate complex quantitative models into operational, observable systems that balance scientific nuance with production reliability.
8 years of coding experience
8 years of employment as a software developer
BS Finance and Investments, BS Finance and Investments at Uniwersytet Ekonomiczny w KatowicachPh.D. Mathematics, Ph.D. Mathematics at Wrocław University of Science and TechnologyBSc Financial Mathematics, BSc Financial Mathematics at The Silesian University of Technology
English
Stackoverflow
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Github Skills (27)
conda10
forge10
cube10
mysql9
snowflake9
postgresql9
conda-forge9
bigquery9
analytics9
athena9
databricks9
presto9
semantic9
sql9
hive9
Programming languages (3)
Github contributions (5)
dkucharc/glmSLOPE
Mar 2019 - Apr 2019
Contributions:34 pushes in 7 days
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