About

Welcome to my blog! I’m a student interested in machine learning and programming languages. Currently, I’m making machine learning inference faster at NVIDIA (TensorRT), conducting research in differential privacy with Prof. Gautam Kamath, and studying Computer Science & Statistics at the University of Waterloo.

Previously, I did deep learning research on collaborative self-driving at Uber ATG, helped improve the neural network optimization algorithm K-FAC at Google Brain, and developed data-driven models to identify fraud at John Hancock Financial. I’ve also worked as a Research Assistant for Prof. Lin Tan in deep learning-driven software analysis and Prof. Pascal Poupart on neural network parameter learning.

If you love tidbits of technical info, follow me on twitter. Feel free to reach out through email: nicholas.vadivelu [at] gmail [dot] com or book some time with me through calendly–I love to chat!