
Rahul Saini
Chandigarh, India
Rahul Saini
Full-Stack Engineer
Category : Web development
I'm a Senior Full Stack Engineer based in Chandigarh, India. For the past 5 years I've been building the infrastructure that powers enterprise healthcare at scale from event-driven microservices processing 3B+ events/year to real-time IVR systems serving 120M+ patients.
I blend scrappiness with solid engineering principles. My stack runs deep: Node.js (NestJS), TypeScript, and React at the core, Go and Python (FastAPI) for performance critical services, and LangChain/LangGraph for the AI frontier. I architect for scale first, elegance second and I've earned 4 company wide engineering awards for it.
TECHNICAL SKILLS
Core Stack: JavaScript, TypeScript, Node.js, NestJS, Express, React, Next.js
Backend & APIs: REST APIs, Webhooks, WebSockets, GraphQL, gRPC, Swagger / OpenAPI
Languages: Python (FastAPI), Go
Databases: PostgreSQL, MySQL, MongoDB, Redis (Pub/Sub, Caching, Streams), Pinecone (Vector DB)
Cloud & Infra: AWS (SQS, Lambda, ECS), Azure (Service Bus, Functions, Data Factory), Docker, Kubernetes
Architecture: Microservices, Event-Driven Architecture, System Design, Design Patterns
AI & GenAI: LangChain, LangGraph, RAG Pipelines, MCP, Agentic Workflows, Prompt Engineering
Testing & DevOps: Jest, Mocha, 90%+ Coverage, Grafana, Structured Logging, CI/CD
I blend scrappiness with solid engineering principles. My stack runs deep: Node.js (NestJS), TypeScript, and React at the core, Go and Python (FastAPI) for performance critical services, and LangChain/LangGraph for the AI frontier. I architect for scale first, elegance second and I've earned 4 company wide engineering awards for it.
TECHNICAL SKILLS
Core Stack: JavaScript, TypeScript, Node.js, NestJS, Express, React, Next.js
Backend & APIs: REST APIs, Webhooks, WebSockets, GraphQL, gRPC, Swagger / OpenAPI
Languages: Python (FastAPI), Go
Databases: PostgreSQL, MySQL, MongoDB, Redis (Pub/Sub, Caching, Streams), Pinecone (Vector DB)
Cloud & Infra: AWS (SQS, Lambda, ECS), Azure (Service Bus, Functions, Data Factory), Docker, Kubernetes
Architecture: Microservices, Event-Driven Architecture, System Design, Design Patterns
AI & GenAI: LangChain, LangGraph, RAG Pipelines, MCP, Agentic Workflows, Prompt Engineering
Testing & DevOps: Jest, Mocha, 90%+ Coverage, Grafana, Structured Logging, CI/CD
Working hours
- Monday:08h00 To 18h00
- Tuesday:08h00 To 18h00
- Wednesday:08h00 To 18h00
- Thursday:08h00 To 18h00
- Friday:08h00 To 18h00
- Saturday:Not available
- Sunday:Not available
Full-Stack Development & API Engineering
• Owns the core API layer in Node.js (NestJS) and TypeScript powering Epic and Cerner EHR integrations. OAuth 2.0, JWT
auth, rate limiting, and OpenAPI spec across the platform.
• Built React dashboards and admin interfaces for patient workflow management, appointment scheduling, and broadcast
configuration, improving operational efficiency for enterprise healthcare clients.
• Stood up event-driven microservices on AWS SQS and Azure Service Bus with async worker pipelines, dead-letter queues,
throttling, and retry logic. Processing 3B+ events/year with zero message loss.
Real-Time Communication & High-Throughput Services
• Built the real-time IVR pipeline on Twilio Conversation Relay (WebSockets), Deepgram STT, and ElevenLabs TTS. Hit
500ms p50 latency with streaming and async processing across 120M+ concurrent users.
• Wrote a high-throughput webhook service in Go using goroutines. Sustained 1,000+ RPS with sub-second latency, Twilio
integration, retry logic, and signature verification.
GenAI Agent Platform
• Designed a multi-tenant no-code AI agent platform using LangChain, LangGraph, and MCP. Enables agentic workflows with
tool calling across 120M+ user profiles. Awarded 2 Tech Ninjas Quarterly Awards.
• Hybrid RAG pipeline on Pinecone vector DB and MongoDB powers retrieval across 10K+ documents at low latency using
async message queues.
Livechat & Data Platform | Node.js, Socket.IO, Redis, Azure Queues
• Real-time broadcast messaging system in Node.js using Socket.IO and Redis Pub/Sub at 50 QPS, with multi-user auth and
EHR integration for enterprise healthcare clients.
• Cut a data migration pipeline from 72 hours to under 1 hour (98% reduction) by moving 50M+ records/month across 50+
MySQL tables through async batch processing and Azure Queues.
• Scaled daily broadcast throughput to 1M+ patient outreach messages across 100+ high-density files with throttling and error
handling.• Delivered billing and reporting features within a two-quarter deadline, reducing client support tickets by 50% and improving
billing accuracy.
• Owns the core API layer in Node.js (NestJS) and TypeScript powering Epic and Cerner EHR integrations. OAuth 2.0, JWT
auth, rate limiting, and OpenAPI spec across the platform.
• Built React dashboards and admin interfaces for patient workflow management, appointment scheduling, and broadcast
configuration, improving operational efficiency for enterprise healthcare clients.
• Stood up event-driven microservices on AWS SQS and Azure Service Bus with async worker pipelines, dead-letter queues,
throttling, and retry logic. Processing 3B+ events/year with zero message loss.
Real-Time Communication & High-Throughput Services
• Built the real-time IVR pipeline on Twilio Conversation Relay (WebSockets), Deepgram STT, and ElevenLabs TTS. Hit
500ms p50 latency with streaming and async processing across 120M+ concurrent users.
• Wrote a high-throughput webhook service in Go using goroutines. Sustained 1,000+ RPS with sub-second latency, Twilio
integration, retry logic, and signature verification.
GenAI Agent Platform
• Designed a multi-tenant no-code AI agent platform using LangChain, LangGraph, and MCP. Enables agentic workflows with
tool calling across 120M+ user profiles. Awarded 2 Tech Ninjas Quarterly Awards.
• Hybrid RAG pipeline on Pinecone vector DB and MongoDB powers retrieval across 10K+ documents at low latency using
async message queues.
Livechat & Data Platform | Node.js, Socket.IO, Redis, Azure Queues
• Real-time broadcast messaging system in Node.js using Socket.IO and Redis Pub/Sub at 50 QPS, with multi-user auth and
EHR integration for enterprise healthcare clients.
• Cut a data migration pipeline from 72 hours to under 1 hour (98% reduction) by moving 50M+ records/month across 50+
MySQL tables through async batch processing and Azure Queues.
• Scaled daily broadcast throughput to 1M+ patient outreach messages across 100+ high-density files with throttling and error
handling.• Delivered billing and reporting features within a two-quarter deadline, reducing client support tickets by 50% and improving
billing accuracy.
• Automated UB04 medical claim generation using Node.js and NestJS, cutting manual effort by 60% with HIPAA compliance.
• Rewrote MongoDB queries with compound indexes and aggregation pipelines. Noticeably faster response times for
high-frequency billing and claims endpoints.
• Integrated OAuth 2.0 webhook flows for QuickBooks invoicing and built encrypted document access APIs using Firebase
Functions and Storage.
• Shipped GraphQL APIs for real-time user tracking and developed reusable React components with 90%+ Jest test
coverage.
• Rewrote MongoDB queries with compound indexes and aggregation pipelines. Noticeably faster response times for
high-frequency billing and claims endpoints.
• Integrated OAuth 2.0 webhook flows for QuickBooks invoicing and built encrypted document access APIs using Firebase
Functions and Storage.
• Shipped GraphQL APIs for real-time user tracking and developed reusable React components with 90%+ Jest test
coverage.
- 🇬🇧 English
- 🇮🇳 Hindi
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