I'm currently at
Worldcoin working on machine learning, biometrics, and infrastructure.
I previously studied Robotics at Carnegie Mellon
where I
explored fascinating ideas
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
data labeling.
→ 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
frequency radio
telescope.
I occasionally
write, and love thinking about
science, math, computing, economics, politics, art, design
philosophy.