Hello, World
Welcome to my small corner of the internet.
I built this site because a list of links can show what I have made, but it rarely explains what I learned while making it. This blog is a place for the details that do not fit neatly into a project README or a short social-media post.
What I work on
My background is in artificial intelligence, with particular interests in machine learning, computer vision, graph-based retrieval, and practical software development. I enjoy the point where an idea leaves a notebook and has to survive real data, real constraints, and real users.
That process usually raises the most interesting questions:
- How do we tell whether a model is genuinely useful?
- What makes an experiment reproducible instead of merely promising?
- When is a simple implementation better than a clever one?
- How can a technical result be explained clearly?
These are the kinds of questions I want to explore here.
What you will find here
Posts may include project notes, small experiments, lessons from building software, and explanations of ideas I find useful. Some will be polished; others will be snapshots of work in progress.
The goal is not to publish on a fixed schedule. It is to leave behind useful notes—both for future me and for anyone working through a similar problem.
Build something, understand what happened, and write down the part worth remembering.
Thanks for visiting. You can also find me on GitHub and LinkedIn.
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