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Tomasz Grzywalski

Lead Machine Learning Specialist at StethoMe™

Tomasz Grzywalski is a skilled researcher, developer, and tester with a specialization in cutting-edge machine learning algorithms for sound and image processing.

With over eleven years of professional programming experience, Tomasz has dedicated more than nine years to research and development in artificial intelligence for various commercial projects, showcasing leadership skills as a team lead for six years.

His proficiency lies in primary programming languages such as Python and C++, and he is notably recognized as the main author behind the world's leading image recognition technology developed at iTraff Technologies.

Currently, Tomasz Grzywalski is actively involved in automatizing pulmonary auscultation at StethoMe, further contributing his expertise to innovative projects.

Tomasz pursued his academic journey by completing a Master of Science (M.S.) degree in Electrical, Electronics, and Communications Engineering from Poznan University of Technology, building a strong foundation for his professional career.

Throughout his career, Tomasz has held key roles in reputable organizations, including his current position as the Lead Machine Learning Specialist at StethoMe, previously having served as the Lead Computer Vision Scientist at SnapRapid, Software Engineer at Samsung Electronics, Image Recognition Specialist and R&D Team Leader at iTraff, C++ Developer at IN-Software, and PLC, VBA Programmer at Philips Lighting.

Tomasz Grzywalski
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Location

Poznan, Greater Poland District, Poland