SYS.SPEC // 01 Systems Programming · Linux Networking

High Performance HTTP Server

November 2025

A high-concurrency, multi-threaded TCP server implemented from the ground up in modern C++ to parse and serve the HTTP/1.1 protocol. Engineered to eliminate allocation overhead, saturate multi-core hardware, and sustain tens of thousands of concurrent client sockets without degradation.

Peak Throughput 80,000+ RPS
Concurrent Sockets 50,000+ Clients
I/O Model Non-blocking Multiplexing
Concurrency Pattern Custom Thread Pool
  • Multi-threaded TCP Architecture: Developed a high-performance TCP server in C++ from scratch that handles the HTTP 1.1 protocol, implementing socket reuse and zero-copy header parsers.
  • Extreme Load Scalability: Capable of scaling to over 80,000+ Requests per Second (RPS) while sustaining 50,000+ concurrent client connections under rigorous synthetic load testing.
  • Custom Thread Pool & Non-blocking I/O: Implemented a lock-free work dispatching thread pool combined with non-blocking I/O event polling to eliminate OS context switching overhead and minimize tail latency.
SYS.SPEC // 02 Information Retrieval · RAG Architecture

LLM-Powered Document Search Engine

August 2025

An end-to-end Retrieval-Augmented Generation (RAG) query engine utilizing FastAPI, engineered to query across complex, unstructured document repositories with contextual precision. Employs a hybrid search strategy that fuses dense vector cosine similarity with sparse lexical indexing.

Ground-Truth Precision 94% Accuracy
Retrieval Strategy Hybrid Dense + Sparse
Vector Store Pinecone & Weaviate
Backend Framework FastAPI + AsyncIO
  • End-to-End RAG Engine: Engineered a scalable Retrieval-Augmented Generation engine utilizing FastAPI, enabling semantic questioning and contextual synthesis over extensive unstructured repositories.
  • Hybrid Retrieval Fusion: Utilized a hybrid search strategy that combines dense vector cosine similarity and sparse Elasticsearch BM25 for maximizing retrieval precision, yielding a 94% accuracy rate in ground-truth answer generation.
  • Optimized Ingestion Pipeline: Structured the RAG data ingestion workflow using LangChain with custom parsing, intelligent noise removal, semantic chunking, and metadata storage, strictly minimizing context loss when embedding text.
SYS.SPEC // 03 Distributed Real-Time Systems · WebSockets

Shared Markdown Note Taker

November 2025

A low-latency collaborative Markdown authoring and knowledge management system. Designed for engineering teams requiring real-time document synchronization with deeply nested directory structures and instant conflict-free state broadcasts.

Transport Protocol Bi-directional WebSocket
Concurrency Model Multi-user Real-time
Document Tree Nested Hierarchical
Client Framework Vue.js Reactive
  • Real-Time Broadcast Engine: Engineered a collaborative Markdown editor utilizing WebSockets to broadcast delta updates with sub-millisecond propagation latency, enabling smooth multi-user co-editing.
  • Hierarchical Document Hierarchy: Built a robust document management system featuring customizable folders and deeply nested subfolders to efficiently organize and scale team documentation trees.
  • Reactive Full-Stack Architecture: Paired a lightweight TypeScript Express backend with a reactive Vue.js client for zero-lag live Markdown previews and synchronized tree navigation.

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