About

I'm a chemical engineer with 25 years of hands-on process operations experience, now combining that knowledge with machine learning and modern software engineering. The combination matters — ML models are only as good as the domain understanding behind them, and I bring both.

My background spans process operations across multiple industries. I hold an MS in Computer Science with a specialisation in artificial intelligence, which gives me the tools to bridge engineering fundamentals with data-driven methods.

My work connects first-principles modeling — thermodynamics, fluid dynamics, control theory — with modern implementation: web applications, real-time simulation, and AI-assisted analysis. I focus on process simulation, dynamic systems, and engineering software that solves operational problems across process industries.

This site is a growing portfolio of technical writing and working tools that show how I approach problems: define the assumptions clearly, build models that can be tested, and deliver outputs that people can actually use in the field.

Work With Me

I'm always open to interesting conversations — whether that's collaborating on a project, exploring an idea, or just talking shop about process engineering and ML.