Dries Michiels is a data scientist based in Antwerp with eight years of hands-on experience blending data science, data engineering and machine learning engineering to deliver production-ready solutions at Cropland. He holds a Master in Business and Economics with a Sustainability Engineering focus and complementary microdegrees in AI and AI for Healthcare, giving him a rare combination of strategic, sustainability-minded business training and applied ML knowledge. At Cropland he builds APIs and interactive data apps, while also working across the stack on model deployment and data pipelines—a pragmatic generalist comfortable with both research and engineering. His open-source DevOps contributions to FreeBSD's poudriere reveal a systems-oriented mindset and attention to reproducible build processes and filesystem configuration. Outside work he channels curiosity and resilience from long-term involvement in scouting into outdoor pursuits like bouldering and hiking, reflecting a collaborative, hands-on approach to problem solving.
8 years of coding experience
Master, Handelsingenieur-Sustainability engineer, Master, Handelsingenieur-Sustainability engineer at Universiteit Antwerpen - Faculteit Bedrijfswetenschappen en Economie
Contributions:2 reviews, 5 commits, 3 PRs in 20 days
Contributions summary:Dries's commits primarily focus on modifying and adjusting the build and package management system's filesystem creation process. The changes involve manipulating ZFS properties related to mount points, compression, and the creation of datasets. The commits aim to streamline the creation of filesystems, and remove hardcoded properties to promote inheritance. The user also addresses the use of the `-p` flag and its removal from the script.
Adds the specified pool to strongSwan through the VICI protocol
Contributions:19 reviews, 44 commits, 1 PR in 3 months
takesdhcpcdstrongswanipv6prefix
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