- 01AI SaaS products
- 02Full-stack systems
- 03Workflow automation
- 04Product UI
- 05API-first architecture
A focused set of recent AI products and systems, each shipped to real users.
AI Interior Design Platform
A workflow-driven SaaS product for interior designers and architects, combining image transformation, regional processing, and public API delivery.
Three practices that compound engineering, AI systems, and interface design.
Product engineering
End-to-end SaaS systems built for actual production load. Type-safe APIs, predictable data layers, and a frontend that survives real users without ceremony.
- Next.js
- Hono / tRPC
- Postgres
- Drizzle
- Stripe
- Edge / Workers
AI workflow systems
Image, text, and agent pipelines that respect latency, cost, and failure modes. The hard parts — queues, retries, observability — built in from day one.
- OpenAI
- Replicate
- Vercel AI SDK
- Inngest
- Queues
- Vector DBs
Interface design
Calm, opinionated product UI with restraint. Typography, hierarchy, and motion treated as engineering disciplines — not decoration applied at the end.
- Design systems
- Tailwind
- Radix / shadcn
- Framer Motion
- Figma
- Prototyping
Four moves, in order. Most of the work is removing things before adding them.
- — Step 01
Understand the business goal
Before any UI or schema. What does this product change for the people using it, and how do we know it worked?
- — Step 02
Design the smallest useful product
The shortest path between a real user and a real outcome. Everything else is deferred until the core is honest.
- — Step 03
Build with production architecture
Type-safe from edge to database. Observability, retries, and migrations as first-class — not bolted on under pressure.
- — Step 04
Refine until it feels effortless
The last 20% is where products stop feeling like demos. Latency, copy, motion, edge cases — sanded down until they disappear.
A small, durable toolchain I trust to take an idea all the way to production.
A boring stack, on purpose.
Stable defaults, opinionated where it matters, and replaceable where it doesn't. The result is a product that ships faster the second time and the tenth time.
- Next.jsframework
- TypeScriptlanguage
- React 19ui
- Tailwind CSSstyling
- Radix / shadcnprimitives
- Node.js / Honoruntime
- Postgresdatabase
- Drizzle ORMdata
- Cloudflareedge
- Verceldeploy
- Vercel AI SDKorchestration
- OpenAI / Anthropicmodels
- Replicateimage
- Inngestworkflows
- Dockerruntime
- Resendemail
- Stripepayments
- PostHog / Sentryobservability
About
I'm a developer who cares about both the system and the surface: the architecture users never see, and the interface they feel every second.
- Based
- India · GMT +5:30
- Practice
- AI-first SaaS products
- Years shipping
- 6+
- Availability
- Selected product builds
- Engagements
- Fractional · Build · Advisory
Have an AI product, SaaS idea, or workflow worth building?
Send a short brief. I'll help turn it into a focused, shippable product, usually within a couple of days, sometimes the same one.