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anand-anshul/README.md
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Backend:

  1. rag_search_engine
  2. http_from_tcp
  3. distributed_pub-sub_messaging_system
  4. bittorrent-client_concurrent
  5. http-server_comprehensive_go
  6. pokedex-client_cli
  7. concurrent_web-scraper

Low Level

  1. mark-and-sweep_garbage-collector
  2. refcount_garbage-collector

Machine Learning

  1. PPG-Signal_Analysis_using_Fuzzy-GRU_for Cerebral-Infarction_Detection

DevOps

  1. kube-curse
  2. onyx

Miscellaneous

  1. static_site_generator
  2. ai-agent
  3. asteroids
  4. book-bot

Martial Arts

  1. brazilian_jiu-jitsu
  2. muay_thai
  3. boxing
  4. karate

Pinned Loading

  1. hybrid_search_rag_engine hybrid_search_rag_engine Public

    End-to-end RAG system built from scratch with BM25, semantic search, hybrid ranking, multimodal retrieval, and LLM generation—designed to mirror real-world search engine architecture.

    Python

  2. httpfromtcp httpfromtcp Public

    Built a low-level HTTP/1.1 server in Go from scratch using raw TCP sockets. Parses byte streams into structured requests without external libraries, demonstrating deep understanding of networking, …

    Go

  3. bittorrent_scratch bittorrent_scratch Public

    A minimal BitTorrent client written in Go that implements core peer-to-peer functionality including torrent parsing, tracker communication, peer discovery, handshake protocol, and concurrent piece …

    Go

  4. mark-and-sweep_gc mark-and-sweep_gc Public

    A lightweight C-based virtual machine showcasing mark-and-sweep garbage collection. It manages dynamically allocated objects, handles cyclic references, and uses a stack-based design to simulate sc…

    C

  5. peril peril Public

    Forked from bootdotdev/learn-pub-sub-starter

    Built a real-time backend using Go and RabbitMQ with a Pub/Sub architecture. Demonstrates event-driven design, scalable messaging, and decoupled services through a multiplayer strategy game simulat…

    Go

  6. CI-detection CI-detection Public

    Deep Learning based framework for early screening of cerebral infarction using PPG signals. Combines GRU networks with fuzzy logic for accurate, real-time, and low-cost diagnosis, enabling accessib…

    Jupyter Notebook