I'm an AI/ML Engineer experienced in building production-ready forecasting systems and advanced RAG-based AI platforms. I have developed a fully automated daily forecasting solution with a Streamlit UI and contributed to a monthly forecasting deployment on AWS. My recent work centers on LLMs, LangGraph, and multi-agent RAG systems - including text and video retrieval pipelines built entirely on the GCP ecosystem. I've worked across vector search (Matching Engine), cloud-based ingestion pipelines, and automation using Docker and Airflow to scale data, embeddings, and retrieval workflows efficiently. I enjoy designing AI systems that are robust, scalable, and intuitive, combining strong engineering practices with practical problem-solving to deliver real business impact.