Professional Experience
Robotics & RL Researcher
Dynamic Optimization and Reinforcement Learning Lab
Working on developing LLM powered evaluation metrics for Robot policies. Researching and implementing advanced evaluation frameworks that leverage multimodal large language models to assess robotic policy performance (Supervisor: Prof. Chi-Guhn Lee).
Student Researcher
RBC Borealis
Developed a Reinforcement Learning agent with Proximal Policy Optimization (PPO) for real-time microgrid management. Built comprehensive OpenAI Gym to simulate 3 different microgrid configurations, utilizing SOTA Transformer models for forecasting weather parameters, improving policy robustness. Designed an interactive dashboard for real-time monitoring and control of the microgrid. Work accepted at IEEE SEGE 2025.
Machine Learning Researcher
Neural Engineering Lab
Developed and evaluated Random Forest, Decision Tree, and Linear Regression models to predict blood pressure using Electro-Vascular Gram signals. Applied window sampling and feature extraction signal processing techniques to preprocess the data. Optimized legacy models and identified top predictive features. Currently working on machine learning for physiological signal forecasting and improving lab's web infrastructure (Supervisor: Prof. Paul Yoo).