Rupendra Krishna R.

I'm an AI Engineer and Data Scientist with 5+ years of experience designing, building, and scaling production-grade AI systems and intelligent platforms. I specialize in multi-agent orchestration, MCP server development, Retrieval-Augmented Generation (RAG) pipelines, and enterprise-grade AI deployments. I help startups and enterprises move beyond demos into reliable, scalable AI products from agentic architectures and API platforms to full-stack AI SaaS backends running in production. My work spans the entire product stack: AI core, APIs, databases, payment integration, and cloud deployment so you get a complete, shippable product, not just a proof of concept. Core Skills & Expertise : → MCP Server Development Designing secure, scalable MCP servers to enable multi-agent collaboration and seamless AI integration with internal systems, databases, and external APIs. → Multi-Agent AI Orchestration Building task-driven agent workflows using Microsoft Agent Framework, LangGraph, LangChain, and Google ADK to orchestrate complex reasoning, planning, and execution pipelines. → RAG Pipelines (Production-Ready) Designed and deployed RAG systems at Bell Media (Canada's largest media company), combining FAISS, TF-IDF, and Hugging Face Transformers to deliver accurate, context-aware AI responses over proprietary data. → Enterprise AI Deployments (Cloud-Native) Architecting and deploying AI systems on GCP, Azure, and AWS with production considerations including scalability, security, observability, and cost optimization including production deployment pipelines with GCP Cloud Run, staging environments, and YAML-based CI/CD. → Full-Stack AI SaaS Delivery Building end-to-end AI SaaS products with FastAPI backends, Supabase / PostgreSQL / MongoDB data layers, React front-ends, and payment integrations across Stripe, PayPal, and Peach — delivering complete, revenue-ready platforms rather than isolated AI components. Academic & Research Background → Fully funded MSc in Computer Science → Teaching Assistant for graduate & undergraduate courses → Graduate Research Assistant at CNIB (sign-language recognition for accessibility) → Research collaborations with Zayed University (pose & gesture recognition) → 5 peer-reviewed publications in international conferences & journals → Thesis-based MSc with successful defense before academic committee What I Build I design and ship enterprise-ready AI platforms and AI SaaS products using: Multi-Agent Orchestration · RAG Systems · MCP Servers · Google ADK · Microsoft Agent Framework · FastAPI · Supabase · PostgreSQL · MongoDB · React · Stripe / PayPal / Peach · GCP / Azure / AWS · Docker · CI/CD Pipelines If you're looking to move from an AI proof-of-concept to a scalable, production-grade platform, I can help you architect, build, and deploy it with proper engineering foundations across the full stack.