Yash Desai is Head of Data & AI at Movar Reply. He builds AI and data products for large infrastructure programmes, the kind where the stakes are high, the data is messy, and the margin for getting it wrong is low.

Yash’s background sits at an unusual intersection: project controls meets software engineering meets machine learning. He started out in the world of P6 schedules and Power BI reporting, and gradually realised that the real problem was never the tools, it was that the data inside these programmes was largely untapped. Thousands of documents, hundreds of data points, years of institutional knowledge, all sitting there, invisible to the people making decisions.

That realisation led Yash to build things. AI knowledge assistants for nuclear programmes. Automated schedule analytics. Intelligent platforms that turn raw project data into something a project controls engineer can actually use. Not prototypes, production systems, running on live programmes.

Yash is also genuinely obsessed with where this is all going. He writes pragmAItic, a weekly newsletter on practical AI, because he thinks most of the noise in this space needs a filter. Not every model release matters. Not every use case makes sense. But some of it, applied thoughtfully, in the right context, genuinely changes how complex work gets done.

If you’re working on a programme and wondering whether AI can actually help, Yash is always up for that conversation.