I help businesses automate their workflows and build intelligent AI systems using Python. My expertise covers RAG (Retrieval-Augmented Generation) systems with LangChain and ChromaDB, Machine Learning pipelines with scikit-learn and PyTorch, MLOps with MLflow and Airflow, and data preprocessing and automation scripts. During my internship, I built a hybrid RAG system (BM25 + vector search) integrated with Neo4j that improved response relevance by 30%. I deliver clean, documented, and deployable code. Whether you need a chatbot, a data pipeline, or an automation script, I provide reliable and efficient solutions tailored to your needs.