Large Language Models, Retrieval-Augmented Generation (RAG), NLP pipelines, ML model evaluation, and GenAI application development. Currently exploring LangChain/LangGraph, MLflow for experiment tracking, and graph-based AI with Neo4j. Passionate about building practical AI tools โ including a privacy-first RAG-based TA grading assistant benchmarked across multiple evaluation approaches. Interested in the intersection of data engineering and ML systems.