projects

Uncertainty-Aware Collision Avoidance through Safe Reinforcement Learning
Uncertainty-Aware Collision Avoidance through Safe Reinforcement Learning
Proposed a constrained MDP framework using lagrange PPO and behavior cloning for navigating unsignalized intersections under uncertainty. The method achieves a 100% success rate and zero-shot generalization to out-of-distribution agent behaviors (e.g., zigzagging), validated via high-fidelity simulation and hardware-in-the-loop experiments on Jackal robots.
safe-reinforcement-learning autonomous-driving robotics motion-planning machine-learning
My Smart Memory
My Smart Memory
Developed a full-stack RAG application using Azure SQL database and OpenAI. Features vector similarity search for long-term conversation memory, implemented with React, Node.js, and LangChain to enable context-aware AI interactions.
RAG Azure-SQL OpenAI LangChain Full-Stack Generative-AI