Summary
Rakshith Shetty is an Applied Scientist at Amazon with 11 years of experience bridging rigorous academic research and production ML systems, specializing in computer vision and machine learning. He holds a PhD from the Max Planck Institute for Informatics and an M.Sc. in Machine Learning from Aalto University, bringing deep research insight into real-world product problems. His background includes low-level systems and firmware development at Broadcom, giving him uncommon expertise across both hardware-near signal processing and high-level ML. Based in Berlin, he focuses on turning novel vision algorithms into scalable, deployable solutions and mentoring cross-functional teams. Colleagues describe him as a pragmatic researcher who values reproducible results and robust engineering in production environments.
11 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Vision and Machine Learning, Doctor of Philosophy - PhD, Computer Vision and Machine Learning at Max Planck Institute for Informatics
Master of Science (M.Sc.), Machine Learning, Master of Science (M.Sc.), Machine Learning at Aalto University
Bachelor of Engineering, Electronics and Communication, 9.08 / 10, Bachelor of Engineering, Electronics and Communication, 9.08 / 10 at PESIT
English, Kannada, Hindi