My further research endeavors at Professor Leilani Gilpin's Artificial Intelligence Explainability Accountability Lab.My current research interests:• XAI (Explainable AI): Understanding how AI works, making AI more transparent, and making sure AI can be trusted.• LLMs (Large Language Models): Ensuring that the model’s responses are explainable, make sense and are reliable.• Reinforcement Learning: Teaching computers to play games and make decisions, like training a dog through incentives. Formerly learned concepts from Prof. Gilpin's CSE140 Artificial Intelligence course.

My introduction to undergraduate research at Professor Gabriel Elkaim's Lab. • Tasked to code a simulator from scratch using OpenAI gym and reinforcement learning.• Studied path-planning to enable the trajectory plotting for the vehicles on the "highway".• Found the highway-env environment on which the rest of the research was built upon.