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Contacts
- Orcid
- LinkedIn profile
- Research Gate
About me
Hi there, I am Andrea and it seems that you've found my personal page.
I was born in
Gubbio and raised in the
historical Duchy of Urbino, in the sunny "middle" Italy. Because of that, I have always been interested in medieval and renaissance history. I also like pretty much
photography, especially of landscapes and architecture. I love
traveling across Europe with my backpack and camera. I am very fascinated by
norse heritage and culture, which also affected
my music taste. I openly support
free and open software movements, being a proud (Arch) Linux user and having freely released my learning efforts (
GitHub,
Sourceforge). I like reading technical stuff, I kind of started collecting books, here are some in
Computer Science and AI. Let me know if you know one I should really read.
My personality is classified as
assertive architect.
Learning and experimenting are my main passion. At home I have all necessary thinkering equipment. Have a look at my
3D printer and
CNC Mill. I am also fond of clay sculpting and pottery making.
Since October 2012, I have been a PhD student at the Smart Grid group led by
Prof. Wilfried Elmenreich at the Institute of Networked and Embedded Systems,
Alpen-Adria-Universität Klagenfurt, which I eventually concluded in September 2016. I invite you to check my "interests" page and my
Google Scholar profile for further information on my activities.
I am coorganizing a meetup on the topic of
Smart Microgrids in Munich, if you happen to be in the city or are just interested just drop me a line.
I recently open-sourced
Mastro a minimal mlops framework written in Go. Mastro provides: i) means for the specification of data assets, ii) the mvc version control tool, iii) a data catalogue storing assets and iv) a bunch of crawlers collecting asset manifests by walking file systems, as well as iv) a feature store. As an additional step, I released the
Gilberto project to ease large scale data quality validation, allow for anomaly detection and finally integrate those quality metrics within Mastro using a metric store service.