Rahul Jha  ·  Senior AI / LLM Engineer  ·  5+ yrs

Overview: Bind AI is a production-ready, multimodal AI platform built for real-time chat, semantic search, and code execution across multiple LLMs. Responsibilities: I worked as the primary backend developer for its Copilot system, built and maintained scalable Flask APIs, integrated LangChain, LangGraph, and LiteLLM for multi-model orchestration, and implemented Qdrant for vector search capabilities. I also set up Stripe billing and deployed the platform on DigitalOcean.

Overview: Instant Assist is an AI-powered real-time question-answering platform. Responsibilities: I developed multi-agent LLM workflows that enable dynamic task routing, semantic search, and contextual memory using vector databases. The system intelligently handles complex queries and generates precise responses.

Overview: Forzza is an igaming project where players can place bets on sports feeds and casinos. Responsibilities: I built the backend using Django REST API, integrated DynamoDB and Postgres for real-time data, and ensured scalability for over 1,10,000 live players.

Overview: KodeKloud project is developed on Flask and AngularJS. Responsibilities: I developed REST APIs using Flask and managed MongoDB connections.

Overview: 2Key is developed using multiple technologies. Responsibilities: I developed backend scripts and REST APIs using Django REST framework.