Summary
Kamil Orzechowski is a data scientist and doctoral researcher with eight years’ experience applying predictive ML, NLP, and generative AI to real-world problems across academia and industry. Currently combining a PhD in complex systems physics with roles validating generative-AI and predictive models at ING and research on parliamentary social-science applications at GESIS, he bridges rigorous statistical theory and production-grade model risk management. He teaches statistics and probability at Warsaw University of Technology and has hands-on full‑stack development and CTF experience, giving him practical software and security instincts alongside research depth. Known for leading international GenAI validation efforts and training courses, he excels at translating complex model behavior into auditable, risk-aware solutions. Unusually, his work blends network-science perspectives from complex systems with applied generative-model validation, enabling novel approaches to model interpretability and governance.
8 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Complex Systems Physics, Doctor of Philosophy - PhD, Complex Systems Physics at Warsaw University of Technology
English, Polish