Ship your MVP or AI system in weeks, not months.
Anindo Neel Dutta is a full-stack product engineer based in India, working with startups and founders worldwide. I ship SaaS MVPs, production LLM pipelines, and outbound automation on Next.js and TypeScript, usually in fixed 2-4 week sprints.
A shift in where the work lives.
Early-stage founders stall when engineering becomes coordination overhead. The fix is treating product builds like infrastructure — scoped, repeatable, and owned end to end.
Building like a vendor relationship.
- Months of discovery decks before a single deploy
- Agency hand-offs and account managers in the loop
- Microservices and premature optimization pre-revenue
- Demo chatbots that break the week after launch
Building like infrastructure you ship.
- Fixed-scope sprints with weekly demos and direct Slack access
- Senior execution — no dev shop, no junior hand-off
- Boring, proven stack your next hire can maintain
- Production LLM pipelines with eval loops and cost controls
Four ways to work together.
Pick the engagement that matches where you are — from zero-to-one MVP to production AI systems and growth debugging.
Case Studies
View all projectsSelected Case Studies & Impact.
DocPilot: How I Built an Automated API Documentation Tool in 3 Weeks
"DocPilot is a devtools project I built to solve automated API documentation for solo developers and startups. It connects to your GitHub repo or accepts an OpenAPI spec, reads your codebase with AI, and generates structured docs, an API console, a mock server, and SDKs in TypeScript, Python, PHP, and more, all without writing a single line of documentation manually."
- 01/Full-stack Next.js app with GitHub webhooks and OpenAPI/PDF ingestion
- 02/Two-step AI pipeline: route recognition, then structured doc generation
- 03/HTTP explorer, API console, mock server, and downloadable SDKs across languages
How engagements run, step by step.
Every sprint follows the same pipeline — scoped upfront, shipped in weekly increments, handed off cleanly.
Discovery call
Scope the business hypothesis, trim ambiguity, and agree on a fixed sprint outcome.
Architecture + sprint plan
Stack decisions, milestone breakdown, and a shared doc — no months of wireframes.
Weekly demos
Async-first with Slack access. You see working software every week, not slide decks.
Production deploy
Ship to Vercel or your infra with handoff docs, env setup, and a clean codebase.
Iteration sprints
Most clients stay on for post-launch features, integrations, and performance work.
About & Execution Philosophy.
My engineering philosophy is rooted in velocity and reduction. Over the years, I've seen too many early-stage startups stall because they got bogged down in engineering bloat—building complex microservices and premature optimizations before they even had their first paying customer.
I specialize in taking products from zero to launched in a matter of weeks. By utilizing a highly optimized, type-safe stack (Next.js, TypeScript, Tailwind), I architect pristine frontend systems and reliable backend logic that scale seamlessly past early revenue targets.
Whether we're launching a validation-ready MVP or overhauling an outbound automation engine, my focus remains singular: translate complex business requirements into high-fidelity, high-performance software that converts.
Common questions before we start.
Straight answers on scope, timeline, stack, and how engagements work, so you know what you're signing up for.
Book a discovery call→"I take on a small number of clients at a time so you get direct senior-level execution, not a dev shop hand-off."
Ship your MVP or AI system in weeks, not months.
Currently taking on select engagements for SaaS MVPs, AI integration, and outbound systems.Let's discuss your architecture.