I'm currently a graduate student at Carnegie Mellon finishing up a
research masters in Robotics. I'm working on problems in the space
of Reinforcement Learning, Interpretability, and Visualization.
In the past I've spent time:
→ Working in collaboration with Uber ATG on training self driving
cars using reinforcement learning.
→ At Scale AI building computer vision models to assist humans doing
→ At Microsoft Research hacking on systems and algorithm
applications for large networks.
→ At JPL as a Caltech SURF Scholar designing neural networks to help
us better understand the impact of climate change on coral reefs.
Even before that, I was part of a small team that built a data
science pipeline to process data for the world's largest sub-GHz
Through my experiences, I've come to realize that I enjoy building
systems and tools that solve challenging problems and create
meaningful value for society.
I occasionally write
I love chatting about
science, math, computing, economics, politics, art, design
. Feel free to reach out :)