// portfolio

LIKHITH
BAVISETTI

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About Me

Graduate Software Developer specializing in AI-powered systems, Retrieval-Augmented Generation (RAG), and agent-based architectures, with hands-on experience building end-to-end LLM applications using Python, FastAPI, and modern cloud platforms.

Skilled in designing scalable data pipelines, integrating vector search and embeddings, and deploying production-ready solutions across AWS and GCP.

Proven ability to develop real-world applications including voice-based AI assistants and domain-specific RAG systems, with a strong focus on performance, reliability, and practical impact.

View Resume
Languages Python, JS
Stack React, Node, Next.js
Cloud & Infrastructure: AWS (Bedrock), GCP (Vertex Ai) , Docker, Terraform, Linux
AI Platforms & Frameworks: LangChain, CrewAI, OpenAI API, Vector Databases (ChromaDB, pgVector) Backend & Systems: FastAPI, Data Pipelines

Projects

Public
OWASP VIIT

Web page for the OWASP Student Chapter at VIIT, supporting student engagement with OWASP's mission and security initiatives.

Public
MediRag

Advanced RAG system for healthcare cost estimation. Converts natural language queries into grounded cost estimates using PostgreSQL + pgvector, LangChain, and GPT-5.

Public
Newsletter AI

AI chatbot that answers questions using UMSL Community Connect newsletters as its knowledge base, powered by a fully local RAG pipeline — no external APIs.

What I Know

Contact

Let's connect

Whether it's a project, opportunity, or just a conversation — feel free to reach out.