Summary
Nithin Ramesan is a Staff Engineer at Qualcomm AI Research specializing in resource-constrained and efficient fine-tuning techniques for large language and vision models. With 11 years of experience bridging theory and practice, he previously led systems efforts on ML accelerator co-design, quantization toolchains, and on-device training for 5G modems. He holds a PhD in ECE from UT Austin where his dissertation under François Baccelli applied stochastic geometry and applied probability to wireless systems and epidemic-style models. Nithin combines deep mathematical instincts—he describes himself succinctly on GitHub as “I like math”—with hands-on systems engineering to squeeze performance from constrained hardware. His background uniquely blends rigorous research, practical ML optimization, and embedded systems work, enabling production-ready ML on edge devices. Based in California, he focuses on turning principled algorithms into efficient, deployable ML stacks.
11 years of coding experience
8 years of employment as a software developer
Indian Institute of Technology Madras
Doctor of Philosophy - PhD Electrical and Computer Engineering, Doctor of Philosophy - PhD Electrical and Computer Engineering at The University of Texas at Austin
Arsha Vidya Mandir
Chettinad Vidyashram
English, Tamil, Hindi