Hi, I'm Himanshu Saini — a Software Developer with 4 years of expertise in Node.js (NestJS), Python (FastAPI), Vector DBs (Qdrant), RAG Workflows, and LiveKit Real-Time AI Agents.
Specialized in combining LLMs with vector search engines like Qdrant. Expertise in constructing agentic execution workflows via LangChain & LangGraph for intelligent document Q&A, context-aware chatbots, and autonomous customer meeting agents using LiveKit.
Proven track record of designing high-availability RESTful & GraphQL microservices using Node.js (NestJS) and Python (FastAPI). Focused on database query tuning, background worker queues, caching with Redis, and maintainable ORM patterns (Prisma/TypeORM).
Experienced in leading cross-functional teams of developers to deliver critical software pipelines. Early adopter of AI-assisted coding workflows (Cursor, Claude Code, Gemini, MCP) to accelerate feature shipping cycles while ensuring robust software architecture.
A real-time meeting platform equipped with dynamic slide generation, live audio transcription, and an in-call AI agent capable of answering complex questions via voice or chat.
Comprehensive internal analytics engine featuring a dual Node.js backend (monolith + microservices) and a Python AI backend powering RAG chatbots with Qdrant vector retrieval.
Healthcare platform facilitating face-to-face, phone, and live video consultations with doctors. Includes an AI medical chatbot and Razorpay package booking system.
High-scale backend platform for mother support communities, handling subscriptions, secure payment flows, real-time messaging, push notifications, and media attachments.
Contributed backend architectures, AI RAG integrations, and payment engines for multiple products: LetsDXB, MyCoachApp, Learn Buddy, ARC, Subconsciously, Touchtight, and HCAH.
Kurukshetra University
Kurukshetra University
Spearheaded a dedicated team of four software developers, driving Agile delivery schedules and establishing strict code review standards across active projects.
Architected microservice standards and automated CI/CD deployment guidelines, drastically cutting down environment setup bugs and deployment failures by 50%.