Designing and applying reinforcement learning algorithms in Python, C++, Javascript and ROS (Robotic Operating System) to find optimal timing for kitchen robots. Working in a small interdepartmental team, bridging vision, trajectory planning, and product development. Additional work on building user-friendly remote web interfaces for AI introspection in the field.

Full Time Research position at Harvey Mudd College's Human Experience and Agent Teamwork laboratory. Published in ICAPS 2019 as first author. Worked with ROS in Python3 to develop simulation systems for Multi-agent Probabilistic Simple Temporal Networks (MaPSTNs), which describe timing constraints & unpredictability with multi-robot tasks.

Developing firmware in C and ISA for experimental multi-core signal processing System-on-Chip device for real-time data processing using convolutional neural networks. Done through Harvey Mudd College’s clinic program in partnership with Leidos.