Summary
Kaveen Kumar is a Data Scientist with six years of experience specializing in on-device speech AI for consumer audio at Bragi, where he builds and deploys KWS, VAD, speaker verification, and IMU-based head-gesture models for earbuds and phones. He combines hands-on DNN training (PyTorch/TF) with audio preprocessing, CI/CD pipelines, Linux GPU ops, and model optimization to move research into real-world, resource-constrained products. His MS thesis and published conference paper on speech synthesis reflect solid academic grounding alongside practical engineering. Earlier telecom experience at Ericsson and embedded work give him a systems-minded approach to robustness and field deployment. Comfortable prototyping AI demos with web and CLI tools, he also brings strong data/code versioning and test coverage practices to production ML workflows. Fluent in English and several Indian languages, he is based in Munich and brings a rare blend of embedded-systems intuition and speech-ML expertise.
6 years of coding experience
4 years of employment as a software developer
Master of Science - MS, Computer Science, 2.2, Master of Science - MS, Computer Science, 2.2 at Otto-von-Guericke University Magdeburg
Diploma, Electronics and Communications Engineering, 75.32 %, Diploma, Electronics and Communications Engineering, 75.32 % at S. J. (Govt.) Polytechnic
SSC, 91.68 %, SSC, 91.68 % at St. Mira's High School
Bachelor of Engineering (B.E.), Electronics and Communication Engineering, 8.73, Bachelor of Engineering (B.E.), Electronics and Communication Engineering, 8.73 at BMS College of Engineering, Bangalore
German, English, Hindi, Tamil, Kannada, Gujarati