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Animated ASCII portrait of Raghavendra Raghavendra's engineering focus and technology stack

Raghavendra Linga

Software Engineering Student · Full-stack Products · AI/RAG · Backend Systems

I build practical products end to end—from reliable APIs and data models to polished interfaces and AI-powered workflows.

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TypeScript Go Python C++ React Next.js FastAPI PostgreSQL Docker

LeetCode Codeforces CodeChef AtCoder

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  1. Diablo Diablo Public

    Voice and web-chat AI portfolio assistant using hybrid RAG, Qdrant, FastAPI, and Cal.com interview scheduling.

    Python

  2. Khaao Khaao Public

    Mobile-first canteen ordering PWA with student and shopkeeper flows, real-time SSE updates, Go, React, and PostgreSQL.

    TypeScript

  3. Multithreaded-Http-Server Multithreaded-Http-Server Public

    Dependency-free Python HTTP/1.1 server with sockets, thread-pool concurrency, keep-alive, streaming, and 54 integration tests.

    Python

  4. Portfolio Portfolio Public

    Dynamic Next.js portfolio with MongoDB-backed content, Cloudinary uploads, and a protected admin CMS.

    TypeScript

  5. SastaNotebookLm SastaNotebookLm Public

    Full-stack RAG app for uploading PDF or TXT documents and asking grounded questions with Gemini embeddings and Qdrant.

    TypeScript

  6. WEB-AUTOMATION-AGENT WEB-AUTOMATION-AGENT Public

    Vision-guided Chromium agent that turns screenshots into Playwright actions using Qwen2.5-VL and Hugging Face inference.

    Python