UUbaidullah
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Let's build something that actually ships.

I take on a small number of product engineering engagements at a time. If you're building something AI-shaped and need someone who can own end-to-end, that's where I'm useful.

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Next.js · React 19 · Tailwind v4 · Vercel
All work
ShippedSide projectFull-Stack Engineer

AI Humanizer

AI text humanization SaaS — multi-LLM pipeline that bypasses ZeroGPT detection, with Stripe billing baked in.

3
LLM providers
GPT-4, Claude, Gemini with fallback routing
0
Manual billing
Stripe + webhook-driven subscriptions
JWT
Stateless auth
no server-side session storage
The problem

Single-model humanizers fail unpredictably — one model's output gets flagged, the next doesn't, and there's no automated way to pick the right pipeline for a given input. Most also lack actual payment infrastructure, so they never grow past the prototype stage.

The approach

A multi-LLM pipeline routes content through GPT-4, Claude, and Gemini with intelligent fallback logic — if one model produces flagged output, the next takes a different angle. Stripe handles subscriptions with webhook-driven plan changes; JWT auth keeps sessions stateless. UI is built around a glassmorphism design system to differentiate from the wall of generic AI tools.

The outcome

Live SaaS with paying customers, automated billing, and a transformation pipeline that's resilient when any single provider gets stricter. The fallback architecture makes the product stay reliable as detection models evolve.

What I owned
  • 01Built the multi-LLM pipeline with intelligent fallback — when one model's output gets flagged, the next takes a different angle.
  • 02Implemented Stripe subscription billing with webhook automation for plan changes, cancellations, and dunning.
  • 03Designed and implemented JWT-based authentication so the API stays stateless.
  • 04Designed and shipped the glassmorphism UI to stand out from generic AI tooling.
Stack
ReactNode.jsExpressMongoDBOpenAIAnthropicGeminiStripeJWT
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