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Harshit Kumar Mehta

Generative AI Engineer

About Harshit

Generative AI Engineer specializing in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and scalable AI system development. I design and build production-ready LLM applications integrating LangChain, OpenAI APIs, vector databases, and secure backend systems. Recently, I architected a RAG-based document intelligence system processing 10,000+ text chunks across 100+ documents, improving response relevance by 30% and reducing latency by 25% through optimized semantic retrieval and conversational memory integration. My experience includes: • LLM pipeline orchestration (LangChain) • Embedding-based semantic search (Pinecone, ChromaDB) • GPT API integration • Prompt engineering and contextual optimization • Secure REST APIs with JWT • Full-stack development (React, Node.js, PostgreSQL) Focused on building scalable, maintainable AI systems ready for real-world deployment. Open to opportunities in Generative AI, LLM Engineering, AI Backend Development, and AI-focused Full-Stack roles.

Skills

  • backend
  • ChromaDB
  • Generative Ai
  • Langchain
  • Large Language Models (LLMs)
  • Natural Language Processing
  • Node.js
  • OpenAI
  • Pinecone
  • prompt engineering
  • Python
  • React.js
  • Retrieval Augmented Generation
  • Vector Database

Education & Training

2022-2026
Computer Science and Engineering
Chandigarh University
During my final year at Chandigarh University , I have focused my Computer Science & Engineering degree on the intersection of Generative AI and Full-Stack development. My academic journey is centered on mastering Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) , specifically through the use of LangChain and OpenAI GPT APIs to build intelligent, context-aware systems. While prioritizing AI-driven logic and semantic search , I maintain a strong technical foundation in full-stack architecture, utilizing React.js and Node.js to deploy scalable, production-ready applications.

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