SELECTED WORK
A glimpse of recent projects. More on the projects page.
A production SaaS platform powering marketing service operations end-to-end — from client subscriptions to employee attendance to admin financial tracking. Built with role-based access control, integrated Cashfree payments, an internal wallet system, and a ticket lifecycle for issue resolution. My most ambitious shipped project.
A JIRA-style project management backend with secure JWT authentication, role-based access, and full CRUD for projects, issues, and users. Production-ready with email verification, password reset, and structured error handling.
A full-stack student result management system built solo with Spring Boot and Thymeleaf. Demonstrates clean MVC architecture, Spring Data JPA persistence, and a Tailwind-styled UI — backend and frontend both designed independently.
GET IN TOUCH
I'm open to full-time roles and select freelance projects. If you have something interesting to build, I'd love to hear about it.
PUNE, INDIA · AVAILABLE FOR OPPORTUNITIES
AI Backend Engineer. Building software that ships.
I build scalable web applications with the MERN stack, Java/Spring Boot, and AWS/GCP — from enterprise systems at Deloitte to live SaaS products in production.
EXPERTISE
FRONTEND
BACKEND
DATABASES
CLOUD & TOOLS
AI Automation · MACH Architecture · GCP(Google Cloud Platform) · AWS Certified Cloud Practitioner (CLF-CO2) · MERN Stack
ABOUT
I’m an AI Backend Engineer based in Pune, focused on building scalable backend systems, AI-powered applications, and intelligent automation pipelines. I completed my MCA from Savitribai Phule Pune University with First Class with Distinction. At Talentloom, I’m building backend and AI infrastructure designed to support 10,000+ users, including an AI automation pipeline for streamlining complex workflows. Previously, I worked at Deloitte USI on enterprise applications serving 5,000+ daily users. I care about clean architecture, scalability, performance, and building systems that work reliably in production.
10k+
Users Supported
AI
Automation Pipelines
5K+
Daily users served
WRITING
Multi-tenancy interviews start and end at "shared schema or separate schema?" — but that's maybe 10% of the problem. A walk through the architecture behind provisioning a tenant, and the failure modes nobody mentions until they page you at 2am.
What happens when you wrap CSV-based bulk user creation in real concurrency, transactions, and idempotent retries — and the two bugs that forced all three. (6 min read)
A walkthrough of how I built this portfolio site — the stack choices, the decisions I'm proud of, and the ones I'd revisit. Plus what it's like building a full-stack app with Claude Code as a pair programmer.
