Platform modernisation for a global education company

Education platforms at this scale tend to accumulate. Services get written, requirements shift, and a few years later the estate works but nobody wants to touch it. This engagement was about making it workable again rather than replacing it. Ten .NET microservices were upgraded. The kind of groundwork that unblocks everything downstream and shows up in no release note. The data layer moved onto GraphQL. For a platform serving many kinds of client applications, that means the front end asks for what it needs instead of pulling whole payloads and discarding most of them. Single sign-on was widened to cover Google and Microsoft accounts. This sounds routine until you consider that education platforms sit across institutions, corporate learners, and individuals, all with different identity providers behind them. Infrastructure preparation for AI features. Not the features themselves, but the plumbing that has to exist first. This is the work that decides whether an AI roadmap takes months or years, and it's almost always invisible from the outside. Engineers worked inside the client's own environment and process rather than delivering to a specification from a distance. Closing line for the card: These are engagements my delivery partners have run. I'm not claiming them as my deals. They're here so a founder can see the level my partners operate at when the client is a large organisation with a decade of legacy behind them.