Adam Pardyl is a doctoral researcher and machine learning engineer based in Krakow with 11 years of industry and research experience focused on embodied AI, reinforcement learning, and large/multimodal language models. Currently pursuing a PhD at Jagiellonian University and working at IDEAS NCBR and the GMUM research group, he develops efficient ML methods and has published at venues such as ECCV, IJCAI, and WACV. His applied work spans computer vision for healthcare—building a CT-based lung cancer diagnostic pipeline that outperformed human benchmarks—and microbe detection for targeted treatment selection. Early internships at Google on Android and YouTube Content ID sharpened his systems and large-scale data skills, giving him a rare blend of deep research rigor and production engineering experience.
11 years of coding experience
2 years of employment as a software developer
High School, Computer Science, High School, Computer Science at The August Witkowski 5th High School
Doctor of Philosophy - PhD, Technical Computer Science, Doctor of Philosophy - PhD, Technical Computer Science at Jagiellonian University
Contributions:13 PRs, 41 pushes, 3 branches in 2 years 6 months
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Adam Pardyl - Doctoral Researcher at IDEAS NCBR Sp. z o.o.