Muhammad S.

Your SaaS needs AI features that work in production, on a backend that holds up as customers grow. I build both: FastAPI and Next.js platforms, plus RAG chatbots and LangChain pipelines on top of them. Maybe you vibe-coded the first version and it got you to launch. Now queries crawl, background jobs pile up, or the AI feature that worked in the demo gives wrong answers on real documents. That is the work I take on. Send me your project and within the hour you get a personalized Loom walking through the architecture, the scope, and the plan, before you spend a dollar. 👉 Recent work ➡️ AI screenwriting SaaS rescue. I came in after two failed attempts: a backend running Django and FastAPI side by side, a half-working React frontend, and a pile of AI-generated code. I rebuilt it from scratch in FastAPI, Next.js, and Supabase, with OpenAI powering the script feedback. Now live and running ➡️ AI agent platform with RAG. Clients upload raw documents, the system chunks and embeds them into a vector store, then deploys a custom chatbot to their site or WhatsApp. Built on LangChain, OpenAI, FastAPI, and Next.js. Onboarding a new client takes zero custom development. ➡️ QR restaurant ordering SaaS. Serves 100+ locations and roughly 35,000 orders a day. WebSocket kitchen alerts fire in under a second, and owners watch revenue update live. FastAPI, React, DigitalOcean. 14-month engagement. ➡️ Multi-vendor e-commerce marketplace. I built tenant isolation so no vendor can ever read another vendor's data, plus real-time order processing and Stripe Connect payouts. It scaled to thousands of daily users and still runs on its original launch architecture. ➡️ Biotech data platform. Celery and RabbitMQ process 20GB+ datasets in the background, and PyTorch training jobs feed medical research. Researchers keep working while the heavy jobs run. 15-month engagement. ➡️ Custom avatar generation app. Stable Diffusion fine-tuned with DreamBooth for each customer. 7-month engagement. What I build AI features for SaaS: RAG chatbots, document Q&A, LangChain and OpenAI pipelines Multi-tenant SaaS architecture, authentication, and billing FastAPI and Django backends, REST APIs, background job pipelines Performance work: query optimization, caching, queue design React and Next.js frontends, dashboards, admin panels 🛠️ Stack Backend: Python, FastAPI, Django, Celery, RabbitMQ, WebSockets Frontend: Next.js, React, TypeScript, TailwindCSS Data and infra: PostgreSQL, Supabase, Redis, ChromaDB, Docker, AWS, DigitalOcean AI: OpenAI API, LangChain, LangGraph, Stable Diffusion, PyTorch Payments: Stripe How it works Before I write any code, you get an architecture breakdown and a written scope, so you know what I'm building and what it costs. You own the code and the infrastructure outright, and you get documentation your team can pick up without me. Clients who start with a platform build usually come back for AI features on top of it. Most of my longest contracts started that way. 14 years building software. 40 contracts on Upwork, 100% Job Success, and engagements that ran 14 and 15 months. ⚡️ Send a few lines about what you’re building. Within the hour or two, you get a Loom showing how I’d approach it, at no cost.