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.
In the past I've spent:
→ 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 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.

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 love speaking with people and learning about new topics. Feel free to reach out :)


Twitter: @bhaprayan