Engineer, lecturer, researcher.

The arc

I started in IT and MIS at DHV Netherlands, supporting a multi-year water-resource management project. From there I moved into project management at SB Construction, leading ERP, eCommerce, ticketing, and fuel-management builds. Three years at Aplectrum Solutions as a full-stack developer followed — over ten production applications in .NET Core and Angular, with ML.NET integrated into the ones that benefited from it. Most recently I taught software engineering at Daffodil International Academy, which forced me to sharpen how I explain architecture, testing, and design.

What I do now

I build full-stack systems in .NET Core, Angular, and increasingly ML.NET. My specialty is integrating predictive and decision-making AI into production business software — energy monitoring, waste prediction, HR analytics, autonomous operations. I am completing an MSc in Artificial Intelligence at the University of Aberdeen, where my research focuses on AI-integrated autonomous software: systems that can decide and act, not just report.

How I work

• Pragmatic about architecture — I have built monolithic, layered, onion, clean, microservices, CQRS, and event-driven systems, and I choose the simplest one that fits.
• Documentation-first when it matters. I have shipped UML, ERDs, and architecture notes for systems that real teams have to maintain.
• Comfortable owning a project end-to-end — from requirements through deployment — and equally comfortable as one focused engineer on a larger team.
• Value clarity over cleverness. The senior engineers I respect most all share this trait.

Outside work

I read more than I should. I write notes on what I read, and increasingly those notes turn into blog posts. I speak English (professional), Bangla (native), and Hindi (conversational). I am based in Aberdeen for the duration of the MSc, and open to UK-based or remote-from-UK roles.