Summary
Wojciech Rokicki is a software engineer with 8 years of experience focused on distributed systems, cloud infrastructure and applied machine learning. He combines industry experience at IBM with academic research in AI and data science from Politechnika Warszawska and EPFL, delivering scalable ML workflows on GCP, Kubernetes and Spark. His projects span production-ready microservices and data pipelines to experimental research—everything from OCR-driven ad-detection web apps to distributed algorithm benchmarking on real-world product datasets. Wojciech brings strong hands-on skills in Python, PyTorch/TensorFlow, SparkML and CI/CD automation, plus practical exposure to Docker, Dataproc and GKE. Notably, he has investigated active learning for imbalanced datasets and performance-optimized distributed training, blending statistical rigor with engineering for deployable solutions. Based in Warsaw, he pairs academic curiosity with production discipline to move research ideas into scalable systems.
8 years of coding experience
3 years of employment as a software developer
Warsaw University of Technology
Master's degree, Data Science, Master's degree, Data Science at Ecole polytechnique fédérale de Lausanne
English, German