Summary
Tejaswin Parthasarathy is a postdoctoral scientist and DL inference engineer with eight years of experience building high-performance simulation and production software that accelerates scientific discovery and real-world AI workloads. Based in the Bay Area, he splits his time between NVIDIA’s TensorRT team optimizing LLM and vision inference and academia at UIUC, where he develops HPC codes and mentors interdisciplinary PhD students. His PhD yielded 14 publications, two open-source codes, and experimental translations of simulation-driven device designs—highlighting a rare ability to move from algorithm and continuum-mechanics theory to hardware prototypes. He combines rigorous academic training (PhD, UIUC; IIT Madras undergraduate) with hands-on systems engineering, making him equally comfortable tuning GPU inference pipelines and writing scalable scientific DSLs. Notably, he balances production-grade deployment work with ongoing open-source and mentoring commitments, bridging research impact and industrial-scale performance.
8 years of coding experience
Indian Institute of Technology Madras
Kendriya Vidyalaya Sangathan
High School, 94.6% (12th grade), High School, 94.6% (12th grade) at Maharishi Vidya Mandir, Chennai
Doctor of Philosophy - PhD, Mechanical Engineering, 4.0/4.0, Doctor of Philosophy - PhD, Mechanical Engineering, 4.0/4.0 at University of Illinois Urbana-Champaign