Summary
Anirudh Swaminathan is an AI Frameworks Engineer at Intel with a decade of experience building and optimizing neural networks for production NPUs, focusing on DirectML targeting, quantization, and performance tuning. He holds an MS in Intelligent Systems, Robotics and Control from UCSD, where he worked on 3D vision and applied reinforcement learning to robotics, and has a strong research background across top labs including NUS, IISc, and IIT Kanpur. At Intel he bridges low-level ML stack work with practical model optimization, turning research prototyping into hardware-accelerated deployments. Earlier roles as a TA and core robotics club member highlight his mentorship and hands-on systems engineering skills, from multi-GPU medical imaging pipelines to monocular+RADAR 3D object detection. Based in Redmond, he blends academic rigor (high GPA and competitive research internships) with production-focused engineering on cutting-edge inference hardware.
10 years of coding experience
1 year of employment as a software developer
University of California, San Diego
Bachelor of Technology - BTech, Chemical Engineering, 9.14/10.0, Bachelor of Technology - BTech, Chemical Engineering, 9.14/10.0 at National Institute of Technology, Tiruchirappalli
12th grade, Computer Science, 95.4%, 12th grade, Computer Science, 95.4% at P. S. Senior Secondary School
English, Tamil