Shiva Thimmaraveni

I’m a Gen AI engineer and research specialist with 5 years of experience building end-to-end AI products—from document pipelines to copilots and LLM-powered chat experiences. I focus on turning complex workflows into reliable, production-ready systems.

At Warner Bros. Discovery, I developed an end-to-end document parsing pipeline for Finance billing plan creation, built a full-stack chat application for Ad Sales using a RAG approach, and optimized end-to-end user experience. I also created the FinGenX Copilot using Advanced AWS Agent Core Runtime Service and deployed it as a chat interface, plus contributed to a DEX platform for document summarization and Q/A.

I’ve led high-impact AI development such as the Bid Analysis AI system, helping Finance separate RFP types using custom logic and separate vendor response costs. Previously at TCS, I supported front-end development across clients, improved performance (e.g., 43% faster loading time), strengthened security with Snyk/Sonar Cloud practices, and reduced bugs by 40% using testing frameworks like Vitest.

I enjoy collaboration and mentorship, including leading a team of 26 during the Swecha Summer of AI Internship Program. I also build full-stack personal projects using MERN, React/Tailwind, and backend APIs (including Flask), with model integration using embeddings and vector search (FAISS) for practical AI workflows.