AI Engineering
AI built into the platform, not bolted on: MCP servers that give assistants safe, permissioned access to a product's data and actions, agent pipelines that draft, review and publish behind human approval gates, and integrations with the model providers the use case actually needs. An AI client is treated like any other client of the backend, authenticated, scoped and audited. The proof point is a live MCP server running in production against a real platform.
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.
Md Moniruzzaman
Browse This Work by Tag
Services You May Also Need
App Development
The platform's apps, wherever the users work: React Native and Expo for iOS and Android, shipped through both stores, and Electron with React for the work that lives on the desktop, offline-ready and packaged for Windows, macOS and Linux. The app is never a separate product, it is a surface of the platform, wired to the same backend, auth and data model as every other client and released on the same cadence.
Website Development
Web frontends built on React, Next.js and Tailwind against a headless CMS: server-rendered, localized, structured for search engines and AI crawlers alike. The same discipline whether it is a marketing site or the web face of a multi-tenant platform: performance measured, content modelled, deploys automated.
DevOps Engineering
The infrastructure underneath the platforms: Kubernetes clusters on owned or cloud hardware, Dockerized services, CI/CD that ships on push, automated TLS, monitoring, scheduled backups and zero-downtime cutovers. The proof point is a production migration off managed cloud with no minute of downtime recorded.
Startup Development
A platform taken from architecture to first customers: the data model, the backend, the surfaces, the deploy pipeline and the operating discipline, scoped so the MVP is a thin slice of the real system rather than a throwaway. Built to survive the growth it is hoping for.
Additional Services
The work around the platform: UI/UX design, headless CMS builds on Strapi, integrations with third-party APIs, architecture reviews and pre-build technical scoping. Smaller pieces, held to the same standard, because they are what keeps a platform coherent.