I am Priyal Chhatrapati, an MS student at Georgia Tech starting from Fall 2021. Currently, I work at NVIDIA as a Deep Learning Performance intern as a part of the MLPerf, TensorRT team. I help them with the biannual MLPerf inference submission.
During the course of my Master's degree, I worked with Prof Callie Hao on acceleration of Computer Vision/ Deep learning models (Object Tracking) using FPGAs. My worked involved optimizing the software stack for Deep Learing(Pytorch) for FPGAs.
Before that, I worked at Sifive in the FPGA team. I completed my undergraduate degree with distinction at
where I majored in Electronics and Instrumentation Engineering. I am interested in the intersection of Computer Architecture, Embedded Systems and Artificial Intelligence. More recently, I have been exploring the new verticals like Hardware Security and DNA based Storage.
During the final year of my undergrad, I spent six wonderful months with
Prof Djordje Jevdjic at
NUS working on
Approximate DNA Storage.
And in the preceeding summer, I interned with
Shakti Processor group at
Indian Institute of Technology, Madras
where we made a Machine Learning Accelerator for the Shakti processor enivonment.
I am an ardent sports fan and I follow Manchester United (Football/soccer), LA Rams (American Football), Dodgers and Braves (Baseball(MLB)), Golden State Warriors (Basketball(NBA)) and McLaren (Formula 1). I was fortunate enough to attend Austin Grand Prix, 2021 and get a Bay Grandstand seat for the Singapore Grand Prix, 2019. I am love with Japanese Anime. Some of my favorites are One Piece, Demon Slayer and Cowboy Bebop.
Feel free to check out my
and drop me an
if you want to chat with me!