AI Software Engineer
I started in machine learning and deep learning before progressively expanding into software engineering, data, cloud and infrastructure.
I’m interested in understanding systems end to end from the application layer down to the foundations they rely on and in building environments where AI-assisted development can remain structured, reliable and maintainable.
I like going deeper into the stack to understand how systems actually work: how applications are structured, how they communicate, how they are deployed and operated, and which foundations make them reliable over time.
This broader understanding also shapes the way I work with AI agents: strong tooling, conventions and system boundaries matter if AI-assisted development is expected to produce robust software rather than short-lived prototypes.