Research & Engineering

I work on optimization problems and machine learning experiments. Most of this is just personal curiosity about mathematical approaches that interest me.

These are experimental projects - some approaches work, others lead to interesting dead ends. Code and documentation are available for each project.

Projects

Non-Convex Optimization

Working through optimization problems that don't have clean solutions. Mostly experimenting with different approaches to see what actually works.

Jupyter Notebook • Optimization • Mathematical Modeling

Distillation in Reinforcement Learning

Making smaller RL models learn from bigger ones. Useful when you can't afford to run massive networks.

Jupyter Notebook • Reinforcement Learning • Knowledge Distillation