I build AI systems and the infrastructure around them

I like working on systems where different pieces depend on each other.

Sometimes it's a model, sometimes it's a pipeline, sometimes it's just a messy setup that needs to run reliably. What I enjoy is figuring out how everything connects and making it work in practice.

I started with machine learning, mostly pipelines and model workflows. After a while I got more interested in how these systems actually run. Deployments, data flows, failures, all the things that don’t show up in a notebook.

At Insider, I worked on large-scale ML pipelines. We had a lot of models running in parallel, and keeping things stable was a big part of the job. Later, I moved more into infrastructure and worked on AWS systems, database migrations, and CI/CD setups.

These days I think a lot about:

• how AI systems behave in production
• where time gets wasted in developer workflows
• how to keep systems simple even when they grow

I also build side projects.

Mostly tools I wish existed while working. Small ideas that turn into something usable.

Outside of work, I like designing things, taking photos, and organizing small events.

I enjoy environments where people share ideas and build things together.

If you are working on thoughtful technology or interesting systems, I am always happy to exchange ideas.