Make Real
Mahbub Rahman
Mahbub Rahman
Available for new projects

Turn Your AI Wrapper Into a Scalable Product

From Streamlit demo to enterprise SaaS.

View My Work

EXECUTIVE SUMMARY

Mahbub Rahman helps founders migrate prototype AI wrappers written in Streamlit or Python into highly scalable, performant Next.js and React SaaS applications.

The Technical Reality

A Python script that calls OpenAI is a feature, not a product. To build enterprise value, you must migrate off single-threaded prototyping frameworks like Streamlit and move to a highly concurrent Node.js/Next.js architecture. I rebuild your core AI logic into a fast, stateless API wrapped in a beautiful React frontend.

THE SCALING WALL

The demo won.The architecture lost.
THE PROTOTYPE

Streamlit and Python aren't for production.

You proved the concept with a quick Python script or Bubble app, but now the UI is clunky, the app crashes under load, and you can't implement complex billing or user management.

Production-ready Next.js
THE UX

It looks like a developer tool.

To charge premium SaaS prices, your app needs to look premium. You need a pixel-perfect React frontend with smooth animations, not a default Gradio template.

Craftsman-level UX
THE DEBT

Spaghetti API calls everywhere.

Your MVP is held together by duct tape and raw API requests. You need a proper architecture with abstracted service layers, database migrations, and clean code.

Maintainable Architecture

WHAT I BUILD WITH

Rewriting for scale.No hand-offs required.

From database to deployment. I own the whole thing.

FRONTEND
Next.js 15
React 19
Tailwind CSS v4
MIGRATION
Python to Node.js
Streamlit to React
AI INTEGRATION
Vercel AI SDK
OpenAI
Anthropic
BACKEND
PostgreSQL
Stripe
Clerk/Auth

THE REBUILD PROCESS

A total overhaul.

We extract your prompt engineering and wrap it in real software.

01

Logic Extraction

Save the magic

We isolate your core prompt engineering, system instructions, and RAG logic from the Python/Streamlit code, mapping it to a modern Node.js service.

02

Frontend Engineering

Consumer-grade UI

We design and build a bespoke Next.js frontend with Tailwind CSS. Your app goes from looking like an internal hackathon project to a polished, premium SaaS.

03

Monetization Integration

Stripe & Auth

We implement proper user sessions (Clerk or NextAuth) and Stripe billing, allowing you to gate access, charge subscriptions, or implement credit-based usage.

PROVEN RESULTS

TryOn Live
ShopifyTypeScript

TryOn Live

AI-powered virtual try-on Shopify app for clothing and accessories using GCP Vision API for real-time fitting.

Read Case Study→

COMMON QUESTIONS

Questions aboutalways ask me.

Making the jump to real software.

Streamlit and Gradio are designed for data scientists to quickly visualize data. They manage state entirely on the server, meaning they handle concurrent users very poorly. They are nearly impossible to customize heavily for UX, and integrating standard SaaS features like OAuth and Stripe is incredibly fragile. They are not meant for consumer-facing production apps.

We can! If your AI logic involves heavy data science libraries (Pandas, NumPy) that don't exist in JavaScript, we can keep the backend as a Python FastAPI service and build a Next.js frontend to talk to it. If it's just passing API calls to OpenAI, it is much cheaper and faster to rewrite the whole stack in Next.js/Node.js.

Yes. Part of the migration involves moving your static string prompts into dynamic, template-driven logic. We will utilize the Vercel AI SDK and Structured Outputs to make your existing AI features much more resilient.

NEXT STEP

Resume, email,or a 30-min call.

Recruiters: download the PDF or email me. Founders: book 30 minutes. No pitch deck. Calendar is Pacific Time.

Download Resume
Contract / fractionalW-9 · full IPPT / CT / ET overlap