MLOps Coffee Sessions #122 with Hannes Hapke, Machine Learning Engineer at Digits Financial, Inc., Scaling Similarity Learning at Digits co-hosted by Vishnu Rachakonda.// AbstractMachine Learning in a product is a double-edged sword. It can make a product more useful but it depends on assumed and strictly defined behavior from users.  Hannes walks through the entirety of their machine learning pipeline, how they implemented it, what the elements are, what the learning looks like, and what tooling looks like.   Hannes maps out what good data hygiene looks like not only from the machine learning perspective down to the software engineering, design, and backend engineering, all the way to the data engineering perspectives.// BioHannes was the first ML engineer at Digits, where he built the MLOPs foundation for their ML team. His interest in production machine learning ranges from building ML pipelines to scaling similarity-based ML to process millions of banking transactions daily.   Prior to Digits, Hannes implemented ML solutions for a number of applications, incl. retail, health care, or ERP companies.He co-author two machine learning books:* Building Machine Learning Pipeline (O'Reilly)* NLP in Action (Manning)// MLOps Jobs board  https://mlops.pallet.xyz/jobs// MLOps Swag/Merchhttps://mlops-community.myshopify.com/// Related Links--------------- ✌️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 Hannes on LinkedIn: https://www.linkedin.com/in/hanneshapke/Timestamps: [[[[[[[[[[[[[[[[[[[[[[