Summary
Hariharan Natesh is a Machine Learning Engineer II with eight years of experience applying robotics, computer vision, and embedded ML to industrial automation and research problems. Currently at Toyota Automated Logistics after a hands-on AI/ML internship at Bastian Solutions, he has moved end-to-end pipelines from x86 servers to NVIDIA Jetson Nano and deployed two-stage detectors for bin picking on low-power devices. His MS in ECE from UC San Diego (Intelligent Systems, Robotics and Control) complements a background of research internships at IIIT Hyderabad, IIIT and IIT Delhi focused on action recognition, occupancy mapping and lane detection. Known for bridging research proofs-of-concept to production-constrained environments, he combines academic rigor with practical deployment experience and a knack for metric-driven analysis of large optimization logs. An underappreciated strength is his experience optimizing graph-convolution implementations—insights that inform better model choices when moving from research libraries to production frameworks.
8 years of coding experience
4 years of employment as a software developer
University of California, San Diego
B.Tech, Electrical, Electronics and Communications Engineering, B.Tech, Electrical, Electronics and Communications Engineering at National Institute of Technology, Tiruchirappalli
Padma Seshadri Bala Bhavan Senior Secondary School K.K. Nagar
English, Tamil, Hindi