Rohan Buddhdev
I’m a full-stack engineer who likes turning rough ideas into simple, useful products. I work across the stack, from building interfaces to designing the systems behind them, while paying attention to the small details that make a product feel polished. I like asking the right questions before writing code, keeping things simple, and building products that continue to work well after launch. Recently, I’ve also been exploring how AI can make everyday products more useful—not just add another feature.
6+
years in engineering
See It Through
Solution Oriented and Proactive Engineer
Senior Software Engineer
Based in India · Open to remote
Career Timeline
Senior Software Engineer · Madison Logic
- Since joining Madison Logic, a big part of my work has been creating foundations that help teams move faster without losing consistency.
- I helped design our Angular microfrontend setup using Module Federation, so teams can ship independently while sharing common platform behavior, routing, and UI standards.
- I worked on an Angular component library with 30+ reusable components, used across 12+ products now, to reduce repeated UI work, make experiences consistent, and let teams focus on solving product problems.
- I have also been working deeply with AI-powered product workflows, including a campaign-planning assistant using Claude and LangGraph, with guardrails and intent validation, specialized-agent handoffs, and the frontend experience for responses.
- I implemented prompt versioning and caching them so changes can be reviewed instead of affecting behaviour quietly.
- I also build end-to-end product features with Angular, NestJS, and MongoDB, alongside the platform and AI work.
- I enjoy this mix: thinking through architecture, building the experience, and making sure the systems behind it are reliable for daily use.
Skills & Tools
Frontend
> Angular: Primary stack — 4+ years building scalable UI systems.
Backend
> SQL: Confident with modelling, queries, and data access.
Tools & Infra
> AWS: Hands-on cloud deployment and operations experience.
AI Engineering
> Tools: Building focused tools for AI workflows.