Jevon Charles

Leading development of an intelligent healthcare platform integrating AI-driven rehabilitation, patient motion tracking, and multimodal health search to deliver personalized clinical insights and real-time feedback.

Developed an interface for natural language control of robot drone swarms allowing for the deployment of complex commands and instructions without a traditional drone controller. Additionally implemented an AI-based "copilot" capable of autonomously issuing commands to the robot fleet without human involvement, allowing for real-time Human-AI collaboration.

Software engineering group project coordinated by Imperial in collaboration with Datasparq. Developed a package for training and evaluating RL agents to optimize manufacturing systems.

Led a team to develop a Python package and scalable RL tooling, implemented a DYNA-DPPG agent that converged in under 300 episodes and enhanced RAY RLlib for automated tuning and metric tracking.

MSc in Artificial Intelligence as a Google DeepMind Scholar focusing on applied AI and machine learning, completed October 2024.

Bachelor of Science in Mechanical Engineering awarded July 2021 with the UWI Open Scholarship.