Rajasekhar Reddy Sirivella

WORK HISTORY

EDUCATION

ABOUT RAJASEKHAR REDDY SIRIVELLA

I’m a Generative AI Engineer with 2.5+ years of experience at TCS, specializing in building LLM-based applications using Python, RAG, and agentic workflows. I focus on turning GenAI concepts into real, working systems that solve business problems through automation, grounded reasoning, and high-quality user experiences.# Core expertise includes:## LLMs, RAG & Agentic Systems:Building end-to-end GenAI solutions using retrieval augmented generation, prompt engineering, and agent orchestration with LangChain, LangGraph, and CrewAI. Experienced in grounding responses using vector databases such as Pinecone and PostgreSQL to improve accuracy, context, and reliability.## GenAI Products & Use Cases:Delivered multiple real-world GenAI solutions including Smart-QE, Supplier Email Automation, and an agentic Data Visualization system that converts natural language questions into SQL, executes queries, selects the best-fit chart type, and generates clear insights.## AI Application Development:Built APIs and AI-powered web applications using FastAPI, Flask, and Streamlit, delivering complete user-facing GenAI experiences.## Platforms & Tools:Hands-on with AWS Bedrock, Google Vertex AI, and Azure OpenAI to build and test LLM-based workflows and enterprise-ready GenAI systems.## Recognition: Winner — TCS AI Hackathon Warrior Award (2025) for building and delivering a working AI solution.Driven by a passion for transforming complex ideas into practical GenAI systems, I focus on building reliable LLM applications using RAG and agentic workflows that deliver real business value.