Software architecture for AI-native platforms and SaaS
From MCP servers to production Kubernetes
The work behind the way I build today: MCP servers that let AI assistants act on real systems behind approval gates, a memory hub that makes past sessions from several AI tools searchable by all of them, a portfolio platform with its own MCP server, a family of versioned, framework-neutral TypeScript packages that every Webanion frontend and backend starts from, a cooperative finance platform where every figure traces to a ledger entry, a booking platform and operator network running on one backend, and the move of that live platform onto self-hosted Kubernetes with no recorded downtime.
Highlights
A few platforms told properly: what they are, how they are built, and what they run on. Each one links to its full case study.
Al-Insaf - Cooperative Finance Platform with Ledger and Loans
A cooperative finance organisation was running member records, savings, loans and investor capital across paper and spreadsheets, with no way to audit a branch or close a day cleanly. We built one system that holds all of it: member registration, daily collections, loan application through to disbursement, a multi-branch ledger, investor capital and an audit log that records who did what. Officers record each collection the moment it is made, managers approve loans and close the day, and the permission model decides what each role can see and do rather than hiding buttons. Everything shown in this case study runs on seeded demonstration data; real member records never appear in portfolio material.
AI Engineering - Agents, MCP Servers and Durable AI Workflows
The platform around the model that takes AI features from demo to production: agents that plan, act and verify, and MCP servers over a business's own systems. Around them sit routing across model providers, durable workflows for long jobs, memory scoped per client, and guardrails that keep a person on every write. The live MCP server behind this site is the working example, and the same engineering ran on an agent-first AI workflow platform serving more than a thousand tenants. It runs on self-hosted infrastructure, so nothing leaves the building.
Webanion - Headless CMS Portfolio Platform with MCP Server
A static portfolio site could not carry work in five languages or keep pace with the writing behind it, so we replaced it with a platform. A headless CMS holds every case study, article and record; a Next.js front end renders them in English, Bengali, Spanish, Hindi and Chinese; and an MCP server exposes the same content to AI assistants, so an agent asked about this work reads the source rather than guessing from a scrape. Search, media handling, an approval flow and a public discovery layer all run on it. The proof is recursive: the page you are reading is served by the system this entry describes.
gm-libs, the packages every Webanion frontend and backend starts from
A family of versioned, framework-neutral packages that every Webanion frontend and backend starts from, with a NestJS layer on the server and React, Vue and Expo bindings in the client: authentication with passkeys and single sign-on, feature flags, an audit trail, multi-tenant data, encryption, files, documents, messaging, real-time and offline, webhooks, workers and a UI kit. Each lives in its own private repository with its own releases and is installed from the studio's private npm registry, and the studio's console shows which consumer is behind on which release.
One node became a cluster, and no application had to change
A second machine that can be switched off at any moment joined a running single-node cluster without a change to any application. An always-on server keeps the control plane, every database and volume and the first copy of every service; the build machine takes the builds and second copies of stateless services behind a taint, and those copies wait rather than fall back when it sleeps. It powers itself off when the work runs out and comes back when a job is queued, a console shows every node, workload and availability span, and every CPU request on the always-on server was measured, taking its reservations from eighty-four to fifty-six percent of what it can allocate.
Sep 22, 2026
Fully Booked - Zero-Downtime Migration to Self-Hosted Kubernetes
Fully Booked ran on managed cloud infrastructure with a bill that grew every month and a stack nobody fully owned. We moved the whole platform onto a self-hosted Kubernetes cluster without a minute of downtime for the people using it. The cutover covered DNS, ingress, databases and the release pipeline, staged so that traffic shifted only once each layer had been proven on the new cluster. Nobody using the app that week knew anything had happened, which was the point. The recurring bill became owned hardware, and the same cluster now carries the platform's weekly releases.
Jun 23, 2026
Fully Booked - All-in-One Smart Booking Solution
Fully Booked is a booking platform for UK minibus and coach hire and the job-sharing network of operators behind it. A customer describes a trip once on the customer website and receives offers from the operators who can serve it, ranked with reviews and vehicle photos, then books with a small protected deposit. An operator who cannot take a job refers the customer from the app, and earns a share when another firm in the network carries it. Around that loop sit quotations, cancellations, Get Covered, partner contacts, stored bookings, a wallet, business pages and the Prebooked widget, all on one backend and run from an admin control room.
Jun 24, 2025
One discipline across the stack
An MCP server sits between an AI assistant and the systems it works on, and every action that writes goes through an approval gate. The same habit runs through the rest of this work: the finance platform traces every figure to a ledger entry, the portfolio platform keeps drafts behind a review, and a live platform moved to new infrastructure with a rollback ready at every step.
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Upwork publishes its own lists of the freelancers it recommends for each skill and country. In 2023 its "Top React Native Developers in Bangladesh" list put my profile first, and in 2025 its "Hire the best React Native Developers in Bangladesh" page listed it second. The rankings and their wording are Upwork's. This page keeps that record next to the React Native work behind it: apps for iOS and Android, built from the architecture and the backend through to the store release.
What they said
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Oct 18, 2023
(5.0)
The portfolio is organized as case studies: what the platform was, the architecture behind it, and what shipped. Booking platforms, finance systems, developer tooling and the infrastructure they run on.