Show notes
MLOps Coffee Sessions #91 with Joseph Haaga, The Shipyard: Lessons Learned While Building an ML Platform / Automating Adherence.// AbstractJoseph Haaga and the Interos team walk us through their design decisions in building an internal data platform. Joseph talks about why their use case wasn't a fit for off the self solutions, what their internal tool snitch does, and how they use git as a model registry. Shipyard blogpost series: https://medium.com/interos-engineering.// Bio Joseph leads the ML Platform team at Interos, the operational resilience company. He was introduced to ML Ops while working as a Senior Data Engineer and has spent the past year building a platform for experimentation and serving. He lives in Washington, DC, with his dog Cheese.// MLOps Jobs board https://mlops.pallet.xyz/jobs// Related LinksWebsite: https://joehaaga.xyzMedium: https://medium.com/interos-engineeringShipyard blogpost series: https://medium.com/interos-engineering--------------- ✌️Connect With Us ✌️ -------------Join our slack community: https://go.mlops.community/slackFollow us on Twitter: @mlopscommunitySign up for the next meetup: https://go.mlops.community/registerCatch all episodes, blogs, newsletters, and more: https://mlops.community/Connect with Demetrios on LinkedIn: https://www.linkedin.com/in/dpbrinkm/Connect with Vishnu on LinkedIn: https://www.linkedin.com/in/vrachakonda/Connect with Joseph on LinkedIn: https://www.linkedin.com/in/joseph-haaga/Timestamps:[[[[[[[[[[[[[[[[[[[[[



