Summary
Jan Sieradzki is a Machine Learning Engineer with eight years of hands-on experience building applied ML and computer vision systems across sports analytics, healthcare, autonomous driving, and industrial e-commerce. He combines solid academic training—a BSc in Computer Science and an MSc in Data Science plus specialized deep learning coursework in audio/video processing—with production experience deploying models on edge devices (NVIDIA Jetson) and in ML lifecycle tooling like MLflow and Qdrant. Notable projects include a gaze-mapping system for football tactical analysis, medical imaging pipelines for skin lesion classification, and multi-agent RAG chatbots that sync SQL product data into vector stores. He brings practical systems skills (C++, Python, DeepStream, TAO toolkit, OpenCV, PostGIS) and a knack for end-to-end automation, from database design and voicebot-driven audit systems to performance monitoring. Based in the Wrocław area, Jan pairs technical depth with interests in psychology and martial arts, which inform his human-centered approach to model design and evaluation.
8 years of coding experience
2 years of employment as a software developer
Master's degree, Deep Learning for Audio and Video Signal Processing, Master's degree, Deep Learning for Audio and Video Signal Processing at Universidad Autónoma de Madrid
PSYCHOLOGY, PSYCHOLOGY at University of Wroclaw
PSYCHOLOGY, PSYCHOLOGY at Università LUMSA
Master's degree, Data Science, Master's degree, Data Science at Wroclaw University of Science and Technology
Polish, English, German, Spanish