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Arjunheregeek/README.md

Hi there, I'm Arjun Gupta 👋

An AI & Machine Learning Engineer specializing in Conversational AI, Voice Agents, and RAG.

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🚀 About Me I'm passionate about building intelligent, production-grade AI systems that solve real-world challenges. My focus is on the complete development lifecycle, from designing complex agentic workflows with LangChain and LangGraph to deploying scalable voice AI systems using modern tools like LiveKit. I enjoy working in fast-paced environments and turning innovative ideas into tangible, high-impact products.

🧠 Core Competencies Generative AI & RAG: Expertise in designing and implementing advanced Retrieval-Augmented Generation (RAG) pipelines, prompt engineering, and building autonomous AI agents.

Conversational & Voice AI: Skilled in creating real-time, intelligent voice agents, integrating STT/TTS services, and performing post-call analysis using tools like Azure Cognitive Services.

Full-Stack AI Development: Proficient in connecting powerful AI backends with intuitive front-end interfaces (ReactJS) to deliver seamless, end-to-end user experiences.

🛠️ My Technology Stack 🤖 AI & Machine Learning

⚙️ Backend, Frontend & DevOps

✨ Featured Projects

💬 LiveKit RAG Voice Agent (AimersVoice)
A real-time, conversational AI voice assistant built with a sophisticated RAG pipeline. It uses LiveKit for real-time communication, LlamaIndex for intelligent document retrieval, and Zilliz Cloud for scalable vector storage. This agent can hold context-aware conversations based on a custom knowledge base.

Tech Used: Python, LiveKit, LlamaIndex, OpenAI GPT-4o, Deepgram (STT), ElevenLabs (TTS), Zilliz Cloud

View Repository →

🚚 DeFMA - Defense Fleet Management AI
A full-stack AI system for managing defense fleets, featuring GPS tracking and predictive maintenance alerts. The system uses Gemini AI for predictive analytics and is integrated with Arduino for hardware communication.

Tech Used: ReactJS, Supabase, Gemini AI, Arduino, Map APIs

(Link to repository if public)

🏆 GenAI Sports Tournament Discovery System
An autonomous AI agent system designed to discover, process, and provide structured information about sports tournaments. This system uses LLMs to dynamically generate search queries, scrape web pages for data, and organize the findings into a clean, queryable format served via a FastAPI backend.

Tech Used: Python, FastAPI, LLMs, Agentic Workflows, Web Scraping

View Repository →

📊 GitHub Statistics

Arjun's GitHub Stats
Arjun's GitHub Streak

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  1. AimersVoice-The-Intelligent-Voice-of-Education AimersVoice-The-Intelligent-Voice-of-Education Public

    AI Voice Assistant with RAG | LiveKit + LLaMA Index | Intelligent document retrieval for coaching conversations

    Python

  2. -GenAI-Sports-Tournament-Discovery-System -GenAI-Sports-Tournament-Discovery-System Public

    An AI-powered pipeline to discover and structure sports tournament data using Serper and FireCrawl. This branch is managed with the uv package manager.

    Python

  3. serverless-csv-visualizer serverless-csv-visualizer Public

    A serverless web application that processes uploaded CSV data and visualizes the results as a bar chart using AWS Lambda, API Gateway, and S3

    HTML

  4. Defma_weaponwise Defma_weaponwise Public

    An integrated logistics platform to modernize the Indian Army's fleet and armament management using a real-time, digital-first approach.

    JavaScript

  5. livekit-rag-voice-agent livekit-rag-voice-agent Public

    A comprehensive toolkit for building advanced, AI-driven conversational voice agents with a focus on Retrieval-Augmented Generation (RAG). This repository provides a flexible and powerful platform …

    Python 2 2