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, not months.

Let's build together → View portfolio →
3+
years experience
12+
systems shipped
6
countries served
9
SaaS products
Primary Service

AI-Powered SaaS MVP Development

I design and build multi-tenant SaaS products with AI features integrated from the start — not 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
Start your MVP →
What you get
Production-ready codebase
Multi-tenant & role-based access
AI chat / automation layer
Stripe or custom billing
REST API & frontend
Deployment-ready setup
Docs & handover

Scale & Optimize

Already have a product? I help you take it from MVP to enterprise — performance tuning, architecture review, and building the features your users actually need.

  • ✓Performance & query tuning
  • ✓Architecture evolution
  • ✓Feature development
  • ✓Microservices migration

Legacy Rescue

Got a messy codebase or a system that's hard to change? I've rewritten legacy hospital systems and untangled multi-year technical debt — without breaking what works.

  • ✓ABP / .NET modernisation
  • ✓Security hardening
  • ✓DDD refactoring
  • ✓Integration & API work

Guidance & Reviews

Need a second opinion before committing to an architecture? Or a code review that actually explains the why? I do deep technical reviews backed by real production experience.

  • ✓Architecture reviews
  • ✓Codebase audits
  • ✓Team workshops
  • ✓Hiring technical advice

Stack & Technologies

ABP Framework .NET / C# ASP.NET Core Semantic Kernel MCP Servers Angular Blazor .NET MAUI Entity Framework Core PostgreSQL RabbitMQ YARP Redis OpenIddict Stripe MediatR / CQRS DDD Modular Monolith Microservices Azure TypeScript RxJS

How We Work Together

01
Discovery
Understand your idea, users, and constraints
02
Design
Architecture, tech choices, and a clear roadmap
03
Build
Iterative delivery with regular updates
04
Launch
Handover with docs, deployment, and support
AI built into the process
MCP-first development

Every API's first client is the MCP server, not the UI. AI checks it against the user story through that same interface and writes the tests from what it finds. Read how it works →

UI generation

AI scaffolds screens and components straight from the client's requirement and the API contract, so design intent and data shape stay in sync from the first commit.

Backend

The 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.

To production

AI-assisted log analysis diagnoses and fixes bugs right after a client hits an issue — not days later after a support ticket works its way through the queue.

Based in Dhaka, Bangladesh — available for remote engagements worldwide.

Start a conversation →