● Co-founder, FinMoon AI · Hyderabad, India
A decade across the full stack of building software: writing it, shipping it, running it, and leading the teams that do all three. Today I co-lead FinMoon AI, an AI decision assistant for personal finance in India. My engineering home before that was Zemoso Technologies, where I grew to Principal Software Engineer III.
How I lead
The principles I bring to every team, product and architecture review.
Understand the constraints — cost, latency, trust, failure modes — before choosing a model. AI is a component, not an architecture.
Every architectural decision is also a financial one. I design with the cloud bill open in another tab.
Build the smallest thing that proves the problem is real, with seams in the right places so it can grow without a rewrite.
Internal platforms have users too. If developers route around your pipeline, the pipeline is wrong.
Selected work
A cross-section of what I’ve built and led, from a founder’s bet to platform-scale infrastructure.
Google for Startups India Hub
An AI assistant that runs the expert decision process — compare options, surface risks and hidden costs, recommend next steps — personalised to each user’s finances. Not a generic tip; a structured process.
−40% infrastructure cost
Moved legacy systems onto Google Cloud Platform with infrastructure as code and automated delivery, improving scalability while cutting the bill.
99.9% uptime · millions of users
Designed and implemented a service architecture for a high-traffic product, with caching, containerised deploys and orchestration built for failure.
Zero to launched
Led a complete MVP for an enterprise client, with an architecture designed to survive success rather than be rewritten after it.
Experience
Developer, DevOps lead, principal engineer, founder. Each role widened the blast radius of my decisions.
FinMoon AI
Building a personal finance decision-making assistant for busy Indian working professionals — automating the expert research process behind decisions on tax, insurance, loans, credit cards and investments.
Zemoso Technologies
Leading complex software architecture and infrastructure work for product engagements, from system design through production operations.
Platform & Infrastructure
Built scalable cloud infrastructure and CI/CD pipelines, and owned reliability and cost.
Product Engineering
Built enterprise applications on modern stacks and led delivery of client MVPs.
Including FACTS Services
Where it started: learning to ship production code and to care about what happens after deploy.
The lab
A self-hosted home lab: orchestration, storage, ML-powered media and agentic automation on real hardware.
3-node cluster
A bare-metal cluster with control-plane and worker nodes for experimenting with orchestration and deployment strategies.
Email → circuit breaker
An n8n agentic workflow that reads email notifications and switches smart MCBs (miniature circuit breakers) accordingly.
RAID-Z1 redundancy
OpenMediaVault on a ZFS RAID-Z1 pool with remote access and automated backups.
Google Photos, at home
Immich for family photo backup with face recognition, smart search and private sharing.
Writing
Why we built a personal finance decision assistant for Indian professionals, what generic AI chat gets wrong, and what getting into Google for Startups India Hub taught us.
Developer, senior developer, lead DevOps engineer, principal engineer, co-founder. What actually changed at each step, and what I wish I had learned sooner.
Most teams choose a model first and discover their constraints later. Here is the order I work in instead — and the patterns that make GenAI systems production-grade.
Why I chose ZFS, what RAID-Z1 does and doesn’t protect you from, and the habits that keep a home NAS trustworthy.
About
I’m a millennial who thinks like a Gen Z hacker in a lab — always asking why, how, and what if.
My path went developer → senior developer → lead DevOps engineer → principal engineer → founder. Each step widened the blast radius of my decisions: from a function, to a service, to a platform, to a company. That path is why I think about technology the way an owner does — in terms of risk, cost, speed, and the people who have to live with the system after it ships.
Outside work I run a home lab: a Raspberry Pi Kubernetes cluster, a ZFS-backed NAS, a self-hosted photo platform, and agentic automations that switch real circuit breakers. It’s where I test ideas before I bet a team on them.
Contact
Technology leadership, architecture reviews, AI product strategy, or just comparing notes on home labs.
