Summary
Damian Kucharski is a Senior Machine Learning Engineer and PhD candidate with 10 years of experience applying scientific machine learning to medical imaging, finance, and satellite telemetry. He combines research-grade work—published multiobjective optimization, neuro-symbolic fusion, and ensemble methods—with hands-on production skills in high-performance and distributed systems using CUDA, Ray, Dask, and AWS. Damian has designed end-to-end ML solutions from automated liver-surface nodularity scoring and micro-tumor detection in medical imaging to large-scale churn prediction, OCR pipelines, and multi-agent LLM systems integrated with MS Teams. He has a strong track record of optimizing production performance under heavy load and balancing model performance with operational constraints via surrogate-model-based optimization. Based in Katowice, Poland, he bridges academia and industry, turning novel algorithmic ideas into deployable systems for healthcare and enterprise use. An uncommon strength is his background in evolutionary computing and genetic-programming–driven fusion that underpins many of his ensemble and regex-evolution solutions.
10 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at The Silesian University of Technology