Diego Toribio is completing his Master’s in Electrical Engineering at The Cooper Union, where his thesis focuses on deep reinforcement learning, advised by Sam Keene. His applied work includes building production ML systems for document understanding and research projects ranging from emotion detection to interactive AI agents.
Currently
- writing thesis on data- and sample-efficient reinforcement learning
- developing ML that turns unstructured docs into structured data @ Konsilix
- reviewing ML system design, fundamentals, and algorithms
Education
The Cooper Union for the Advancement of Science and Art
Major: Electrical Engineering
Master of Engineering
Thesis: Deep Reinforcement Learning
Bachelor of Engineering (2025)
Track: Computer Engineering
Resources