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Arjun Gupta
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GitHub - Arjunheregeek/-GenAI-Sports-Tournament-Discovery-System: An AI-powered pipeline to discover and structure sports tournament data using Serper and FireCrawl. This branch is managed with the uv package manager.

GitHub - Arjunheregeek/-GenAI-Sports-Tournament-Discovery-System: An AI-powered pipeline to discover and structure sports tournament data using Serper and FireCrawl. This branch is managed with the uv package manager.

GenAI Tournament Calendar System is an intelligent tournament discovery platform that automatically finds, extracts, and organizes tournament informat...

ai
genai
GitHub - Arjunheregeek/-GenAI-Sports-Tournament-Discovery-System: An AI-powered pipeline to discover and structure sports tournament data using Serper and FireCrawl. This branch is managed with the uv package manager.
GitHub - Arjunheregeek/AimersVoice-The-Intelligent-Voice-of-Education: AI Voice Assistant with RAG | LiveKit + LLaMA Index | Intelligent document retrieval for coaching conversations

GitHub - Arjunheregeek/AimersVoice-The-Intelligent-Voice-of-Education: AI Voice Assistant with RAG | LiveKit + LLaMA Index | Intelligent document retrieval for coaching conversations

This project is an AI-driven conversational voice assistant built using LiveKit Agents and LLaMA Index. It leverages Retrieval-Augmented Generation (R...

ai
voice_ai
ai_agent
rag
GitHub - Arjunheregeek/AimersVoice-The-Intelligent-Voice-of-Education: AI Voice Assistant with RAG | LiveKit + LLaMA Index | Intelligent document retrieval for coaching conversations
Work History

AI ENGINEER INTERN

ZUDU AI · REMOTE

Mar 2025 – Jul 2025·4 mos

During my internship, I was deeply involved in the end-to-end development of advanced conversational AI systems. I successfully delivered on key projects and gained hands-on experience with cutting-edge technologies. Architected and developed production-grade conversational AI agents using LangChain and LangGraph, implementing advanced RAG workflows to enhance response accuracy. Engineered real-time voice AI systems using LiveKit and PipeCat, integrating both STT and TTS pipelines for seamless user interaction. Built post-call analysis pipelines using Azure Cognitive Services for NLP tasks like sentiment analysis and entity extraction to derive business intelligence. Led technical evaluations of global LLM and TTS vendors, creating detailed benchmarks on performance, pricing, and integration feasibility to guide key business decisions.

Attended Events Communities

GDG New Delhi

57338 members

GDG Cloud New Delhi

50948 members

WTM Delhi

19181 members

GDSC GLBITM

1344 members

PyDelhi

3021 members

GDSC IIIT Delhi

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