Summary
Ananthesh Shet is an engineering team manager at Aptiv with over a decade of hands-on experience in embedded software, radar perception algorithms, sensor modeling and virtual simulation for ADAS/AD systems. He leads cross-functional teams building SiL/HiL re-simulation and embedded solutions that prioritize modularity, reuse and deterministic performance on CPU cores to reduce engineering cost. Previously he developed fusion trackers, safety-compliant multi-core software and automated testing frameworks that dramatically cut testing time and memory use, and he frequently liaises with customers and suppliers to align models with real radar behavior. Trained in electronics and machine learning (Udacity nanodegrees and an MSc in AI/ML), he blends low-level embedded expertise with deep learning-driven perception work and a practical interest in intelligent driving systems. Notably, he integrates open standards like OSI and tools such as Blender and CARLA to make sensor models run efficiently in diverse simulation environments.
8 years of coding experience
12 years of employment as a software developer
Bachelor of Engineering (B.E.), Electronics and Communications Engineering, Bachelor of Engineering (B.E.), Electronics and Communications Engineering at B. M. S. College of Engineering
Nanodegree, Machine Learning Engineer, Nanodegree, Machine Learning Engineer at Udacity
Pre University, Pysics, Chemistry, Mathematics, Computers, Pre University, Pysics, Chemistry, Mathematics, Computers at SMS PU College
High School, High School at Little Rock Indian School
Master of Science in Computer Science, Artificial Intelligence and Machine Learning, Master of Science in Computer Science, Artificial Intelligence and Machine Learning at Scaler
English, Hindi, Kannada, Konkani