Backend engineer and CS student at Vasavi College of Engineering. I architect serverless AWS systems, design high-performance FastAPI services, and wire them to LangChain-driven AI agents — turning complex business logic into systems that ship.

I'm Vasu Maredugonda, a B.E. Computer Science student at Vasavi College of Engineering building the kind of backend infrastructure that quietly powers everything else.
My stack lives at the intersection of Python, FastAPI,Flask,Langchain,RAG,Agentic AI and AWS serverless architecture. I care deeply about schema design, query optimization, and event-driven systems — the plumbing decisions that determine whether an application scales or collapses under load.
Right now I'm most excited about agentic AI systems — building backends that don't just respond, but reason. LangChain, LangGraph, and RAG pipelines are my current obsession.
When I'm not shipping APIs, I contribute to early-stage prototypes as a technical team member at Swayam Entrepreneurship Cell, translating messy product ideas into modular, scalable architectures.
A carefully assembled toolkit for backend systems, cloud infrastructure, and AI-powered applications.
Selected projects spanning serverless microservices, real-time analytics, and AI-powered backends.
Serverless P2P student lending platform. Five Lambda microservices with clean API contracts and strict business logic enforced across the full loan lifecycle.
Real-time opinion polling platform with strict data-integrity constraints and live polarization analytics dashboards.
Image analysis backend processing 100+ inputs with object detection, OCR, and landmark recognition via Google Cloud Vision.
Real output from real projects.
Open to backend engineering, cloud infrastructure, and AI-systems roles. Drop a message or reach out directly.