Pietro Argentohttp://pietroargento.com/Recent content on Pietro ArgentoHugoen-usFri, 30 Oct 2026 00:00:00 +0000Hello, Worldhttp://pietroargento.com/posts/hello-world/Fri, 30 Oct 2026 00:00:00 +0000http://pietroargento.com/posts/hello-world/First post — what this blog is about and what’s coming next.Welcome to my blog.

Why a blog

A place to think out loud and keep notes worth keeping: AI agents, ML systems, and the engineering it takes to make them reliable in production. See the about page for more on me.

What to expect

Notes from real projects, experiments at the edge of what current models can do, and the occasional lesson learned the hard way.

What’s next

This site is a work in progress. The first real posts are on their way, so come back soon.

]]>Abouthttp://pietroargento.com/about/Mon, 01 Jan 0001 00:00:00 +0000http://pietroargento.com/about/<p>I’m a Data Scientist with a Master’s degree in Data Science and Business Informatics from the University of Pisa, increasingly focused on AI engineering.</p> <p>Over the past year, I’ve worked on a platform for multimodal tracking of smart containers. I’m responsible end-to-end for the ML services and several backend endpoints, taking models from design through to integration.</p> <p>I’ve also taken part in several internal projects and GenAI competitions, notably alongside partners such as IBM and ElevenLabs.</p>I’m a Data Scientist with a Master’s degree in Data Science and Business Informatics from the University of Pisa, increasingly focused on AI engineering.

Over the past year, I’ve worked on a platform for multimodal tracking of smart containers. I’m responsible end-to-end for the ML services and several backend endpoints, taking models from design through to integration.

I’ve also taken part in several internal projects and GenAI competitions, notably alongside partners such as IBM and ElevenLabs.

I enjoy pushing AI to its limits to explore what’s possible at the bleeding edge, especially with AI agents. At the same time, I value ML and MLOps, and the system design behind reliable ML systems.

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