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 Caltech/JPL exploring questions at the interface of atmospheric
physics, radiative transfer theory, and geoscience.
Even before that, I spent most waking hours at a
research center
pursuing fundamental research in radio astronomy and astrophysics.
During my tenure there, I built infrastructure for large scale
processing of data acquired from the world’s largest sub-GhZ
frequency
radio telescope.
I occasionally
write, and love
thinking about
physics, math, computing, engineering, economics, design, art,
history
philosophy.