Summary
Adam Stelmaszczyk is a Research and Teaching Assistant and seasoned machine learning engineer with 13 years of experience building scalable ML and data platforms across academia, fintech, and cloud-native environments. He led the MLOps buildout for PKO BP—taking a platform from prototype to supporting 100+ data scientists—debugging and contributing fixes upstream (e.g., an MLflow concurrency bug) while working extensively with GCP, Kubernetes, Terraform and ML tooling. His background spans terabyte-scale data pipelines, IP classification and probe networks, ads optimization experiments, and deep reinforcement learning research, blending rigorous experimentation with production-grade deployment. Comfortable in both research and hands-on engineering roles, he has a history of reproducible documentation, mentoring, and cross-team process improvements. Based in Warsaw, he pairs advanced technical depth (Master’s-level CS and PhD work in deep RL) with practical impact in highly secured, regulated settings.
12 years of coding experience
9 years of employment as a software developer
Master's degree Computer Science, Master's degree Computer Science at Warsaw University of Technology
1 year of PhD in Deep Reinforcement Learning - stopped Computer Science, 1 year of PhD in Deep Reinforcement Learning - stopped Computer Science at University of Warsaw
Engineer's degree Computer Science, Engineer's degree Computer Science at University of Malta
English, Polish