Build your AI-powered SaaS MVP:
fast, scalable, production-ready.
I help startups and SMEs turn ideas into real products. From multi-tenant architecture to AI automation built in from day one, shipped in weeks rather than months.
AI-Powered SaaS MVP Development
I design and build multi-tenant SaaS products with AI features integrated from the start instead of bolted on later. You get a scalable, subscription-ready platform that can handle real users on day one.
- MVP delivered in weeks with a clear architecture
- AI automation with Semantic Kernel & MCP servers
- Multi-tenant architecture & subscription billing
- Scales from your first user to millions
- Full-stack: .NET / Angular / Blazor / MAUI
- Production-ready codebase
- Multi-tenant & role-based access
- AI chat / automation layer
- Stripe or custom billing
- REST API & frontend
- Deployment-ready setup
- Docs & handover
What I Build
Stack & Technologies
How We Work Together
Discovery
1 / 5Understand your idea, users, and constraints.
I map the core workflows, the data behind them, and the limits that will shape the architecture, so we agree on what the MVP must prove before any code is written. The user stories we capture here become the contract AI later checks every API against.
MCP-First Development
2 / 5Every API's first client is the MCP server, not the UI.
AI checks the API against the user story through that same interface and writes the tests from what it finds, catching design gaps a UI would quietly work around. Read how it works →
UI Generation
3 / 5Screens are scaffolded straight from the requirement and the API contract.
Design intent and data shape stay in sync from the first commit, and every screen is still reviewed and refined by hand before it ships.
Backend
4 / 5The moment an API is built, it's exposed through MCP so AI can evaluate it against the user story right away.
Not after a manual QA pass catches the gap. Short cycles, working software you can click every week, with every change human-reviewed and tested.
To Production
5 / 5Your product goes live with deployment set up, documentation written, and a handover your team can work with.
AI-assisted log analysis diagnoses and fixes bugs right after a client hits an issue, not days later once a support ticket works its way through the queue.
FAQ
Do you only build SaaS MVPs for a specific industry?
No. I work across domains, with production experience in hotel and hospital management SaaS, ERP platforms, and subscription billing systems. If your product needs multi-tenant architecture, AI features, or a scalable .NET/Angular/Blazor stack, the industry itself is secondary to those requirements.
How long does it take to build a SaaS MVP?
Most MVPs ship in weeks once scope and architecture are agreed, not months. Exact timelines depend on scope, but the process is Discovery, Design, Build, then Launch; see "How We Work Together" above.
Can you integrate AI features like chat or automation into my product?
Yes. AI automation with Semantic Kernel and MCP servers is built into the MVP from day one, not bolted on afterward.
Do you handle subscription billing and payments?
Yes, including Stripe and Tap payment gateway integration, plus custom subscription and billing systems for multi-tenant SaaS products.
I already have a product. Can you help scale it instead of building from scratch?
Yes. I take existing MVPs to enterprise scale: performance and query tuning, architecture evolution, and microservices migration.
Do you work with clients outside Bangladesh?
Yes. I'm based in Dhaka, Bangladesh, and work remotely with clients across 6+ countries, including Saudi Arabia, Greece, and the US.
What's your tech stack?
ABP Framework, .NET/C#, ASP.NET Core, Angular, Blazor, .NET MAUI, PostgreSQL, Redis, RabbitMQ, and more; see the full stack listed above.
Have an idea worth building?
Based in Dhaka, Bangladesh, and available for remote engagements worldwide. Tell me what you're building and I'll tell you honestly how I can help.
Start a conversation →