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 and Interpretability.
In the past I've spent:
→ Over half a year working in collaboration with Uber ATG on
training self driving cars using reinforcement learning.
→ A summer at Scale AI building computer vision models to assist
humans doing data labeling.
→ Half a year at Microsoft Research hacking on systems and algorithm
applications for large networks.
→ A summer (and then some), 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
science, math, computing, economics, politics, art, design
. Feel free to reach out :)