
Undergraduate Researcher
Texas A&M University, Department of Electrical and Computer Engineering


May 2024 - Present
- Developed a Grid Resilience Assistant using a LoRA-fine-tuned LLM combined with Retrieval-Augmented Generation (RAG).
- Reduced RAG context by 90% and cut latency via a FAISS vector DB, with minimal accuracy loss.
- Co-authored an IEEE paper on visualizing weather & renewable-energy trends.
- Cut an 80-year weather-analysis script’s runtime by 77% via parallel k-NN.
- Implemented MILP-based power-scheduling models in Python (Pyomo & GLPK).