Hi, I'm Divyansh Rai.
Backend Engineer with 3.5+ years of experience building high-traffic platforms, microservices, APIs, and AI-powered operational tools.
With 3.5+ years of experience, I design scalable, high-traffic systems with Node.js and NestJS, with a focus on performance, maintainability, and dependable delivery.
My recent work spans microservices, event-driven architecture, AI-powered operational tools, legacy-system modernization, and high-performance APIs.
Years of experience
Merchants served daily
Latency improvement
Faster onboarding
Node.js · NestJS · GraphQL · REST APIs · Jest
PostgreSQL · MongoDB · MySQL · TimescaleDB · ClickHouse · Redis
JavaScript · TypeScript · Python · C/C++
AWS · Docker · Nginx · GitHub Actions · CI/CD · Git
Microservices · Kafka · Event-driven systems · Scalability · System design
MCP · Claude integrations · Agent assist · Workflow automation
Have a backend challenge in mind? Let's talk.
Patiala, Punjab · Graduated in 2022
Selected systems I architected and developed—from AI-assisted operations to media infrastructure and data-driven APIs.
03 case studiesAutomated merchant operations by connecting Claude to internal backend capabilities through a custom MCP server.
A custom MCP server that enables Claude to safely work with KwikEngage’s internal backend APIs and automate repetitive operations workflows.
Operations work required repeated manual actions across merchant accounts, slowing the team down as usage grew.
I owned the system architecture and development of the MCP integration.
Claude communicates with a purpose-built MCP server, which invokes the company’s existing REST APIs within the private network.
Claude · Model Context Protocol · REST APIs
Centralized image, video, and PDF handling with S3 uploads and Redis-cached signed URLs.
A centralized backend service for storing and retrieving product media, including images, videos, and PDF documents.
Products needed one consistent service for handling multiple media types without duplicating upload and retrieval logic.
I designed the architecture and developed the service.
Files are uploaded to Amazon S3, while generated signed URLs are cached in Redis to accelerate repeated access.
Node.js · Amazon S3 · Redis · Signed URLs
A NASA Space Apps solution that transforms complex datasets into an accessible visual web experience.
A NASA Space Apps data-visualization project that extracts and presents complex datasets through a more approachable web interface.
Make complex NASA-related datasets easier for people to explore and understand.
I developed the backend APIs that supplied the application with its data.
The application extracts and decodes the source data, then exposes it to a visual web experience.
Backend APIs · NASA datasets · Data visualization
Competitive builds where engineering decisions, teamwork, and delivery were tested under real deadlines.
2019 season
I’m open to conversations about backend platforms, scalable APIs, distributed systems, and practical AI integrations.