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Finding the "THE ONE"
💭
Finding the "THE ONE"

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SrabanMondal/README.md

💫 About Me:

System Programmer | Backend Architect | AI Infrastructure Explorer

I design and scale backend platforms with a focus on clean architecture, industry best practices, and high-performance systems.
For me, perfection is elegance, and elegance is true beauty — I strive to build systems that are not only fast and reliable, but also graceful in design.

What I Build

  • C++ Web Server from Scratch → Learned the internals of multi-threaded IO, full HTTP parsing, and adaptive rate limiting.
  • AI Infrastructure & RAG Systems → Experimental LLM infrastructure beyond demos.
    • retrieval as a policy: query decomposition, routing, and weighting
    • hybrid neuro-symbolic knowledge access
    • ablation, failure-mode analysis, and evaluation tooling
  • Memory Engines → Episodic buffers, symbolic daily tables, and chapter-based reasoning for long-term context.
  • Backend & P2P Systems → Token-based chat over DHT, secure AES/MinIO storage, WebSockets, Redis caching, and real-time notifications.
  • Local Voice Assistants (V1 → V2 Evolution)
    Progressed from a threaded prototype (Whisper + Coqui + Gemini) to a CPU-first, turn-aware, multiprocessing voice assistant, featuring:
    • event-driven orchestration
    • interruption-safe (barge-in) interaction
    • streaming STT → LLM → TTS pipelines (Moonshine + Silero VAD + Ollama LLM + Piper TTS)
    • fully local inference using ONNX / GGUF models
      This project emphasizes systems design, concurrency, and low-latency control planes, not just model integration.
  • Open-Source: Typeflow → Creator of a full visual, type-safe workflow engine for Python, featuring:
    • drag-and-drop React Flow editor
    • function & class node system
    • DAG compiler + Python orchestrator generation
    • live execution via SSE
      This project pushes toward a future of visual, OOP-driven, AI-native programming.

Philosophy

I enjoy the challenge of scaling elegant systems into production, while still diving into low-level internals out of curiosity.
My passion lies in giving AI a sense of memory and continuity, bridging the gap between stateless models and lifelong companions.

When I’m not coding, I’m usually researching new ideas, sketching system designs, or unwinding with some anime.


“If perfection is sin, I am a sinner — gladly.”


Snake animation

🌐 Socials:

LinkedIn email

💻 Tech Stack:

C C++ Go JavaScript Java HTML5 TypeScript Python Vercel Render Chakra Express.js FastAPI Flask JWT NPM NestJS Next JS NodeJS React React Native Socket.io Three js TailwindCSS Nginx Redis MongoDB MySQL Neo4J SQLite Prisma Postgres Keras Matplotlib mlflow NumPy Pandas TensorFlow PyTorch scikit-learn Scipy Git GitHub FFmpeg Gradle Docker Swagger

📊 GitHub Stats:



🏆 GitHub Trophies

🔝 Top Contributed Repo


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  1. p2p-chat-distrubuted-matchmake p2p-chat-distrubuted-matchmake Public

    A decentralized P2P Chat CLI built in Go using libp2p, featuring Kademlia DHT peer discovery, NAT traversal, and real-time duplex messaging. No servers. No intermediaries. Just pure peer-to-peer pr…

    Go 2

  2. adaptive-cpp-http-server adaptive-cpp-http-server Public

    A high-performance HTTP server built from scratch in pure C++ (IOCP), with adaptive rate limiting, IP fairness, and overload admission control. Express.js-style API, systems-level internals.

    C++ 1

  3. Typeflow Typeflow Public

    Typeflow is a visual workflow engine for Python. Design, validate, and execute workflows using type-safe function/class nodes and a React Flow editor. Fully local, modular, and AI-ready.

    HTML

  4. SecureStore SecureStore Public

    SecureStore: A production-ready Go backend for secure file storage and sharing. Features PostgreSQL for metadata, MinIO/S3 for object storage, AES-256-GCM encryption, and JWT authentication. Suppor…

    Go 1

  5. NSHG-RAG NSHG-RAG Public

    Research-grade neuro-symbolic RAG framework where retrieval is a policy, not a vector search, built for evaluation, ablation, and reliability analysis.

    Python

  6. voice-assistant-v2 voice-assistant-v2 Public

    CPU-first, turn-aware local voice assistant with multiprocessing, streaming STT→LLM→TTS, and interruption-safe orchestration.

    Python