I’m a product-focused Full Stack Engineer with 5+ years of experience, specializing in backend architecture, distributed systems, and real-time applications.
I’ve built and scaled systems used across 500+ enterprise locations, handled 10K+ daily workflows, and shipped production mobile apps used by real users.
I enjoy owning systems end-to-end, designing scalable architectures, and solving real-world problems.
Languages
JavaScript, TypeScript
Backend
Node.js, Express.js, REST APIs, JWT Auth
Temporal.io, RabbitMQ, Redis, Elasticsearch
Databases
MongoDB (Mongoose), PostgreSQL
Frontend
React, Next.js, Redux, Vue.js, MUI, Quasar
DevOps & Testing
Docker, Kubernetes, Git, CI/CD
Jest, Enzyme, Postman
- Built a canvas-based floor visualization engine using Konva.js with spatial clustering, zoom/pan, and geo-to-pixel transformations, supporting 1000+ interactive elements per layout.
- Engineered a dynamic form builder and real-time room booking timeline with recurrence rules, timezone-aware validation, and overnight booking detection across 500+ enterprise locations.
- Architected an event-driven room booking platform using Temporal.io workflows, approval state machines, delayed scheduling, and automated cancellations — reducing manual operations by 85% and supporting 10K+ bookings/day.
- Designed a multi-tenant digital register system using Casbin RBAC/PBAC, SurveyJS dynamic forms, and Zod schema validation for configurable compliance workflows.
- Built a Trello-style task management system using Node.js, MongoDB, React, and Next.js.
- Delivered scalable APIs and real-time UI that improved collaboration and task completion by 20–25%.
- Scaled a high-traffic content platform using Node.js, MongoDB, Redis, and React.
- Implemented cached news feeds and Reddit-style infinite comments.
- Refactored backend to TypeScript, improving maintainability and long-term scalability.
🔗 https://github.com/hrishi7/bookspace
A production-grade backend showcasing system design and scalability:
- API Gateway with JWT authentication and Redis rate limiting
- Auth, User, Document, and Worker microservices
- PostgreSQL and MongoDB data layers
- RabbitMQ-based async pipelines
- Elasticsearch full-text search
- S3 pre-signed uploads with background workers
📱 Play Store: https://play.google.com/store/apps/details?id=com.talkdrill.learner
A real-time language-learning and communication platform:
- Node.js, Express, MongoDB backend
- React Native mobile application
- Video calls, real-time chat, and push notifications
- AI-powered characters for practice
- AI-driven conversational insights and performance reports
B.Tech in Computer Science & Engineering
Calcutta Institute of Engineering & Management (2017 – 2020)
⭐ Open to Full Stack, Backend, and Founding Engineer roles