I’m pursuing a Master’s in Electrical Engineering at The Cooper Union, where I also earned a BEng (Computer Engineering track). My thesis explores how to make reinforcement learning more data-efficient and reliable, with Sam Keene as my advisor.
This site is where I share notes and showcase projects I’ve worked on, centered around understanding machine learning and its applications.
Currently Working On
- writing a thesis on data- and sample-efficient deep reinforcement learning
- building ML that turns unstructured docs into structured data @ Konsilix
- reviewing ML theory and algorithms