Sai Thejeshwar is a Machine Learning Engineer with a decade of experience building production-ready ML and computer vision systems, currently based in Munich and trained in Neuroengineering at TUM. He has driven research-to-product projects from end-to-end — from wake-word recognition and medical imaging ML to edge-deployed deep learning pipelines in collaboration with industry partners like SigOpt/Intel. His work at TUM’s Traffic Engineering chair combined automated driving testbeds, V2V communication and cyclist/pedestrian interaction models, showing a practical focus on safe, sustainable mobility. A long-time IEEE leader and Mozilla Open Leaders alumnus, he blends technical craft with community-building and open-science practices. Proficient in Android, C/C++ and ML toolchains, he brings both academic rigor and hands-on engineering to interdisciplinary systems. An often-overlooked strength is his track record of translating research environments into robust product deliverables across automotive, energy and medical domains.
10 years of coding experience
6 years of employment as a software developer
Jawaharlal Nehru Technological University Hyderabad
ICSE, High School, 10 th Class, 87.6%, ICSE, High School, 10 th Class, 87.6% at St.Joseph's Public School
Master of Science - MS, Neuroengineering, Master of Science - MS, Neuroengineering at Technical University of Munich
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