APIs, databases and concurrency — building toward AI/ML systems
I'm a backend developer working mainly in Python, and I reached engineering by an unusual route. Before I wrote software, I spent years running real business operations — and that's the lens I bring to code. I think about constraints, edge cases, and how things fail before I think about syntax, because I've learned the hard way that a process which quietly breaks costs real money and trust.
My focus is the backend — the APIs, data models, authentication, and service logic that have to stay correct and maintainable as a system grows. I'd rather understand one stack deeply and defend every trade-off out loud than collect frameworks I've touched once, and I try to write code that the next person (often future me) can actually read.
Most of what's on this profile is project and coursework code from a deliberate, structured path through backend engineering and computer-science fundamentals, which I'm also formalising through a BS in Computer Science. Longer term, I'm building toward AI/ML systems — which sit on exactly the kind of reliable backend infrastructure I'm focused on now. Everything here is meant to be read: clean repositories, honest documentation, and projects I can stand behind in a technical conversation.
