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thvvamshi/README.md

Vamshi Kumar

Software Developer · Backend Engineering · Distributed Systems · Cloud Infrastructure

   

I build backend systems, event-driven platforms, and full-stack applications with a focus on distributed systems, cloud infrastructure, and real-time applications.


Tech Stack

Languages

JavaScript TypeScript Python

Frontend

React Redux Vite Tailwind CSS

Backend

Node.js Express.js Socket.IO Prisma JWT Zod

Databases

MongoDB PostgreSQL Redis ClickHouse

Cloud & DevOps

AWS ECS AWS S3 Docker GitHub Actions Apache Kafka

Tools

Git GitHub Postman Swagger Jest Cloudinary


Open to Work

Full-time SDE · Backend · Full-Stack

Open to on-site opportunities in India and remote roles.


Building scalable systems and learning something new every day.

Pinned Loading

  1. Streamify Streamify Public

    A full-stack music streaming platform with real-time chat, live listening activity, album management, analytics, and secure authentication built with React, Node.js, MongoDB, Socket.IO, Clerk, and …

    TypeScript 2

  2. BuildFlow BuildFlow Public

    A cloud-native deployment platform that automates application builds, container execution, static hosting, and real-time deployment monitoring using AWS, Kafka, Docker, and distributed systems prin…

    JavaScript 1

  3. veda-ai-exam-engine veda-ai-exam-engine Public

    AI-powered exam and question paper generation platform built with react.js, Express.js, MongoDB, Redis, BullMQ, Socket.IO, and OpenRoute and Groq models with async processing and realtime updates.

    TypeScript 1

  4. invoice-intelligence invoice-intelligence Public

    AI-powered document intelligence platform for extracting, organizing, and managing invoice, product, and customer data from PDFs, images, and spreadsheets.

    JavaScript 1

  5. multi-agent-researcher multi-agent-researcher Public

    AI-powered multi-agent system for web research, source verification, and report generation

    Python

  6. rag-book-assistant rag-book-assistant Public

    PDF-based RAG assistant for context-aware question answering using ChromaDB and Mistral AI.

    Python