Rishabh Chaudhary Full-Stack Engineer | AI/LLM Systems
Professional Experience
Full Stack Developer, Tecnoprism⁠
09/2025 – Present
  • •Architected a MongoDB database layer with optimized schemas and indexing - cut query load time by 35–40% and sustained 99.9% uptime across distributed environments.
  • •Built and deployed a RAG pipeline using LangChain, integrating multiple LLM APIs with custom evals for output quality - serving 100K+ monthly requests and 1K+ concurrent users with real-time SSE sync.
  • •Engineered 15+ event-driven Node.js microservices using RabbitMQ and BullMQ, containerized with Docker and deployed on Kubernetes via Helm.
    • Full Stack Developer, Alois Solutions⁠
    05/2023 – 08/2025
  • •Built a Next.js application from scratch with a PostgreSQL backend, implementing virtual scrolling to render large datasets smoothly, cutting render time by ~40%.
  • •Owned the CI/CD pipeline (GitHub Actions) with Nginx as reverse proxy for frontend deployments, eliminating manual steps and achieving zero-downtime releases.
  • •Optimized backend query performance with database indexing and cursor-based pagination via Prisma ORM, enabling smooth, lag-free data transitions across large datasets at scale.
    • Projects
    flexai.chat⁠, Generative AI Chat Assistant
  • •Built a Generative AI chat platform with RAG-powered retrieval, SSE streaming, and WebSocket-based real-time events for context-aware conversations.
  • •Optimized frontend performance using Redux and React.memo(), backed by a MongoDB and vector DB data layer with Redis caching for fast semantic search.
    • AI Startup builder⁠, From startup validation to product building
  • •Built a full-stack AI SaaS platform that transforms startup ideas into production-ready code through a 6-phase automated multi-agent pipeline.
  • •Engineered a 9-service microservices architecture with multi-model LLM routing across MiniMax, DeepSeek V4, and Gemini Flash, cutting token usage by 90% through context compression.
    • Skills
    Applied AI/GenAI

    Python, RAG, LangChain/LlamaIndex, LLM Routing, Vector DB, Memory, Evals

    DevOps/Cloud

    Docker, Kubernetes, CI/CD, AWS, Terraform, Argo CD

    Backend

    Node.js, JavaScript, TypeScript, MongoDB, PostgreSQL, Redis, Prisma, RabbitMQ, BullMQ

    Frontend

    React, Next.js, Redux, Tanstack, Zustand, Tailwind

    Education

    Bachelor of Computer Applications

    Maharaja Sayajirao University of Baroda
    07/2020 – 04/2023 | Vadodara, India

    CGPA: 8.1