Summary
Abhishek Bamotra is a Senior Machine Learning Engineer with a decade of experience applying data science and deep learning to optimize system-level performance, currently focusing on OS power and performance at Apple. He previously led ML initiatives at Qualcomm to improve modem and 5G performance, building end-to-end ETL pipelines, high-dimensional telemetry feature engineering, and GRU-based time-series models for adaptive modem configuration. His background blends robotics and CV research from Carnegie Mellon—where he worked on LiDAR point-cloud analysis and automated structural inspection—with hands-on soft-robotics hardware published in IEEE venues. Comfortable shipping production-grade models and mentoring interns, he bridges algorithmic research and scalable engineering across embedded and cloud environments. Based in San Diego, he brings a rare mix of telecom, OS-level ML, and tactile-robotics expertise that enables practical solutions for complex, data-rich systems.
10 years of coding experience
3 years of employment as a software developer
Bachelor of Engineering - BE Mechatronics Robotics and Automation Engineering, Bachelor of Engineering - BE Mechatronics Robotics and Automation Engineering at Thapar Institute of Engineering & Technology
Master of Science - MS Computational Design and Manufacturing, Master of Science - MS Computational Design and Manufacturing at Carnegie Mellon University
English, Hindi