Rohit Srivastava

Motivated AI/ML Engineer with a strong foundation in Machine Learning, Python, and backend development. Experienced in developing intelligent document processing systems using OCR, Large Language Models (LLMs), FastAPI, and MongoDB. Passionate about building scalable AI solutions, optimizing data pipelines, and continuously learning emerging AI technologies.

• Minor in AI, By IIT Ropar

• Photography
• Traveling
• Reading Technology
• Problem Solving

• AI-Powered ESG Document Intelligence Platform : automate data extraction from CSV, PDF, and email documents.
  Leveraged Python, FastAPI, OCR, LLMs, and MongoDB to build scalable document processing and backend workflows.
• Designed a Travel Recommendation System : analyzes user preferences to recommend suitable travel destinations.
  Applied machine learning techniques and data preprocessing to deliver personalized travel recommendations.
• AI Chat with Documents : (self): Built an AI Chat with Documents system using Python, FastAPI, LangChain, and a vector database. Implemented document parsing, semantic search, RAG, and LLM integration to provide context-aware question answering with source citations.
• RAG-Based AI Knowledge Assistant : (self) : Developed a Retrieval-Augmented Generation (RAG) based AI Knowledge Assistant that enables users to query enterprise knowledge through natural language. Built an end-to-end pipeline for document ingestion, semantic search, vector embeddings, and LLM-powered response generation with source citations, delivering accurate and context-aware answers from organizational data.
• Multi-Agent AI Customer Support System :(self) : Developed a Multi-Agent AI Customer Support System that automates customer interactions using specialized AI agents for query classification, knowledge retrieval, issue resolution, ticket management, and escalation. Leveraged Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and FastAPI to deliver accurate, context-aware, and scalable customer support.