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HenrikGharagyozyan/README.md

👋 Hi, I'm Henrik Gharagyozyan

C++ Software Engineer | AI/LLM Developer | Embedded Systems

Building high-performance C++ software, AI-powered applications, and custom libraries.

LeetCode Email GitHub


🎯 About Me

C++ Software Engineer specializing in embedded systems, high-performance computing, and AI/LLM applications. Passionate about building robust, efficient software with deep dives into low-level systems and algorithms. Currently developing CodeLens and exploring AI integration through LangChain & LangGraph.

🛠️ Tech Stack

  • Languages: C++17/20, C, Python
  • AI/LLM: LangChain, LangGraph
  • Specializations: Embedded Systems · Memory Optimization · STL · Algorithms & Data Structures
  • Focus Areas: Performance Optimization · High-Performance Computing · AI-Powered Applications

📌 Featured Projects

  • CodeLens - AI-powered code analysis tool
  • Game Engine - Custom C++ engine focused on performance
  • Algorithm Solutions - Optimized solutions on LeetCode
  • More coming soon...

📫 Get in Touch


Always learning • Open to collaboration

Pinned Loading

  1. Hydra Hydra Public

    Hydra Engine

    C++ 6

  2. MySTL MySTL Public

    Modern C++20 STL implementation from scratch

    C++ 6

  3. MemCore MemCore Public

    A lightweight, header-only C++20 memory allocation library with linear, stack, pool, and arena allocators — built for game engines, real-time systems, and embedded apps.

    C++ 4

  4. documentation-helper documentation-helper Public

    Reference implementation of a RAG-based documentation helper using LangChain, Pinecone, and Tavily..

    Python 4

  5. http-server http-server Public

    An HTTP/1.1 server built from scratch in C++20 on raw POSIX sockets.

    C++ 4

  6. agentic-rag agentic-rag Public

    Self-correcting agentic RAG with LangGraph — combines Adaptive, Corrective, and Self-RAG. Routes queries, grades retrieved documents, and checks answers for hallucinations. Runs fully local on Ollama.

    Python 4