Learning in public
I treat every project as a lesson: pick something slightly beyond my comfort zone, build it end to end, then write down what I got wrong.
Student Developer | AI Enthusiast | Python Developer
I'm a student developer who enjoys turning ideas into working software. My day-to-day revolves around Python, machine learning experiments, and the unglamorous engineering that makes a project reliable — clean code, sensible tests, and deployments that don't wake you up at 3 a.m.
Still early in the journey, and deliberately taking the long way round.
I treat every project as a lesson: pick something slightly beyond my comfort zone, build it end to end, then write down what I got wrong.
Automating small things, scripting real workflows, and keeping the language readable. If Python can do it without a framework maze, Python does it.
Working through neural networks and applied ML — more time understanding the maths and evaluation than chasing the newest release.
The three things that take up most of my time right now.
Training, evaluating, and actually shipping models — with honest baselines and an eye on how they fail, not just how they score.
APIs, databases, queues, and the small automation scripts that save an hour a week. Boring, reliable, well-tested.
Semantic HTML, accessible interfaces, and performance budgets that hold up on a mid-range phone over a slow connection.
Tools I reach for by default. Opinions change; these keep earning their place.
Happy to talk about Python, ML projects, or study and internship opportunities.