Summary
Jose Perez-macias is a Technical Lead and PhD-trained biomedical engineer with eight years of experience translating advanced AI/ML and signal-processing research into wearable and clinical-grade health technologies. He specializes in sleep, cardiac and respiratory event detection from unconventional sensors (BCG, PPG, EMFi/PVDF) and has a proven track record delivering algorithms, device validation and regulatory-ready documentation across academia and industry. Jose blends hands-on C++, Python and TensorFlow development with cloud deployment experience (AWS, TensorFlow Serving/Lite) to move models from prototype to embedded and server-side production. His work spans hardware evaluation, time-series and audio signal processing, and clinical trials, and has earned multiple research grants and industry awards including Nokia and national science academy recognition. Based in Helsinki, he leads cross-functional teams to bridge xAI/ML research and commercialization for intelligent medical devices, and uniquely combines musical training and international research experience across Finland, Sweden, Germany and Spain.
8 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, Biomedical/Medical Engineering, Doctor of Philosophy - PhD, Biomedical/Medical Engineering at Tampere University of Technology 1965-2018
M.Sc., Telecommunication Engineering, M.Sc., Telecommunication Engineering at Universidad Europea
Music Examinations Degree, Professional Conservatory of Music at Valladolid, Piano, Music Examinations Degree, Professional Conservatory of Music at Valladolid, Piano at Conservatorio de Valladolid
M.Sc., Biomedical Engineering, M.Sc., Biomedical Engineering at Chalmers University of Technology
Deutsche, Deutsche at Kapito Sprachschule
Telecomunications Engineering, Telecomunications Engineering at Universidad de Valladolid
English, Spanish, German, French, Swedish, Finnish