Full-Stack SaaS
Complete SaaS products — auth, payments, role management, and multi-tenant architecture — shipped to production, not handed off as a prototype.
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AI-Powered SaaS & Backend Systems
1 Production LMS Deployed for an Institutional Client. 200+ Active Users. Zero Marketing Fluff. Founders and product teams hire me to ship AI features, production backends, and automation workflows that work on launch day — not after three rounds of fixes.
When founders hire me, they get someone who owns the entire build — frontend, backend, database, AI integration, and deployment. Not a contractor who delivers files. Someone who takes responsibility for it working.
I ask the right questions before writing a single line of code. I flag problems early. I communicate at every stage. The result is a system that works the way you described it — with clean architecture that your next developer can actually read and extend.
My capabilities are anchored in production truth—headlined by a custom Learning Management System running live at taci.edu.pk that handles daily operational traffic for 200+ active institutional users. I back this client work up with advanced showcase architectures like Resumind (AI-powered resume analytics) and TickMate (semantic ticketing engine with vector search) to display the full scope of what I can build for your business.
Every area below has shipped to production. No sandbox projects, no course demos.
Complete SaaS products — auth, payments, role management, and multi-tenant architecture — shipped to production, not handed off as a prototype.
Resume analyzers, ticket routing systems, semantic search, and custom AI agents that automate real workflows — not demos.
Production-grade REST APIs with Swagger docs, request validation, JWT auth, and versioning — built to handle real traffic from day one.
Automation pipelines with n8n and Inngest that eliminate manual bottlenecks, cut operational overhead, and scale without adding headcount.
MongoDB, PostgreSQL, and MySQL — schema design, indexing, and query optimization built for the scale your product needs next, not just now.
GitHub Actions CI/CD, Docker, and cloud deployment on Vercel, AWS, and Railway — so your product ships fast and stays up reliably.
Looking to launch scalable MVPs, integrate monetization workflows, and avoid sluggish agency overhead.
Seeking an independent full-stack developer who natively handles schema integrations, strict input validation, and background job queues.
Needing an engineer capable of mapping semantic vector storage, optimizing LLM token metrics, and deploying autonomous worker agents.
If you have a SaaS idea, an AI feature to ship, or a backend that needs to actually scale — let's talk. No lengthy back-and-forth. Tell me what you need and I'll tell you exactly how I build it.