Tomasz Wojnar is an ML software engineer and master's student in Computer Science at Jagiellonian University, with six years of experience building and deploying machine learning systems across research and industry. He has hands-on experience from Nokia—working on quantization-aware layers and prototype architectures for 6G—and has contributed MLOps tooling and Kubeflow deployments during a competitive CERN Openlab internship. His research work spans 3D Gaussian splatting, pruning strategies, and synthetic tabular data generation, leveraging national supercomputing resources for experiments. Comfortable in Python, C++, deep learning and Linux, he prefers projects that sit at the intersection of research and production engineering. Outside engineering he draws inspiration from psychology, astronomy and photography—interests that often inform his creative approach to ML problems.
6 years of coding experience
3 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Jagiellonian University
Contributions:106 commits, 44 pushes, 7 branches in 6 months
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