Summary
Paweł Majewski is a Senior Data Scientist and PhD-trained AI researcher with nine years of experience applying computer vision, CNNs, and spatio-temporal analysis to industrial and biosystems problems. He combines academic rigor as an assistant professor at Wrocław University of Science and Technology with industry delivery at Capgemini, working on projects from rail-wheelset diagnostics to UAV-based overhead line assessment. His research spans object detection, semantic/instance segmentation, unsupervised anomaly detection and domain adaptation, and he has translated those methods into applied NCBiR projects and trainee programs. Paweł has international research experience from a phenotyping internship at National Taiwan University and a track record of mentoring through teaching and leading student ML teams. He brings a mechatronics background to data science, enabling practical integration of algorithms with hardware and biosystems engineering. Notably, his profile blends hands-on production work with ongoing PhD research, making him comfortable bridging prototype research and scalable enterprise solutions.
9 years of coding experience
5 years of employment as a software developer
PhD, Artificial Intelligence, PhD, Artificial Intelligence at Politechnika Wrocławska
Master of Science, Big Data Analytics, Master of Science, Big Data Analytics at Wroclaw University of Technology
Polish, English, German