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kodi73/README.md

Hey there, I'm Aditya! 👋

Computer Science Engineer | Distributed Systems | AI & Agentic Workflows


       _/\_        kodi73@github
      /    \       -------------------
     /\/\/\/\      OS: Fedora Linux (Sway WM)
    /   /\   \     Host: Asus Vivobook Pro 15 OLED
   /   /  \   \    Kernel: Java, Python, C++, SQL
  /___/____\___\   Uptime: Aug 2022 – July 2026 (CU Student)
       \  /        Shell: bash (starship prompt)
        \/         IDE: VSCodium
                   Location: Lucknow, India
                   
                   [HARD SKILLS]
                   Languages    :: Java (Proficient), Python, C++, Bash/Shell, SQL
                   Backend/Web  :: REST APIs, Node.js
                   Databases    :: PostgreSQL, Redis, ChromaDB (Vector DBs)
                   DevOps/Cloud :: Docker, Git, GitHub Actions, AWS, Linux

🛠️ Noteworthy Core Projects

🚀 Multi-Container Application Deployment

  • The Stack: Docker, Redis, Nginx, PostgreSQL, AWS Elastic Beanstalk, GitHub Actions.
  • The Value: Engineered a production-ready, multi-container architecture calculating Fibonacci numbers. Implemented automatic testing and multi-stage container deployment pipelines through GitHub Actions.

🧠 Local Retrieval-Augmented Generation (RAG) System

  • The Stack: Python, LangChain, ChromaDB, HuggingFace Models, REST APIs.
  • The Value: Created an offline semantic search engine to ingest text data and query documents locally, optimizing context retrieval flow for sub-second system response latencies.

🤖 Java AI Agent with Tool Use

  • The Stack: Java, OpenRouter API (Gemini 2.0 Flash), Maven.
  • The Value: Programmed an autonomous, multi-turn conversational execution loop from scratch. Handled explicit I/O file read/write permissions directly via LLM function calling blocks.

📊 System Diagnostics & Metrics

  • 🎓 Education: B.E. in Computer Science & Engineering (GPA: 7.80/10)
  • ⚡ Core Focus: Data Structures & Algorithms, Systems Concurrency, Modular Software Architecture.
  • 🧠 Soft Specs: Analytical Problem Solver, Quick Architectural Upskilling, End-to-End Ownership.

Let's Connect!

LinkedIn Email

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  1. Local-RAG-System Local-RAG-System Public

    A simple Retrieval-Augmented Generation (RAG) system that uses local documents and a large language model (LLM) to answer questions

    Python

  2. Algorithms-usings-Graphs Algorithms-usings-Graphs Public

    This repository contains my systematic implementation of fundamental graph and digraph algorithms in Java, created while learning graph theory and algorithmic problem-solving.

    Java

  3. codecrafters-claude-code-java codecrafters-claude-code-java Public

    A Java-based AI agent that uses the OpenRouter API to interact with language models capable of tool use. The agent can read and write files autonomously by exposing tools to the model and executing…

    Java

  4. codecrafters-shell-java codecrafters-shell-java Public

    Java

  5. Simple-HTTP-Server-in-Java Simple-HTTP-Server-in-Java Public

    A minimal HTTP server built from scratch using Java's ServerSocket and Socket classes — no external libraries needed.

    Java

  6. Working-With-APIs Working-With-APIs Public

    I learned working with APIs through this min project.

    HTML