Clean Code for Data Scientists // Matt Sharp // MLOps Podcast # 160

MLOps Coffee Sessions #160 with Matt Sharp, Data Developer at Shopify, Clean Code for Data Scientists co-hosted by Abi Aryan. // Abstract Let's delve into Shopify's real-time serving platform, Merlin, which enables features like recommender systems, inbox classification, and fraud detection. Matt shares his insights on clean coding and the new book he is writing about LLMs in production. // Bio Matt is a Chemical Engineer turned Data scientist turned Data Engineer. Self-described "Recovering Data Scientist", Matt got tired of all the inefficiencies he faced as a Data Scientist and made the switch to Data Engineering. At Matt's last job, he ended up building the entire MLOps platform from scratch for a fintech startup called MX. Matt gives tips to data scientists on LinkedIn on how to level up their careers and has started to be known for my clean code tips in particular. Matt recently just started a new job at Shopify. // MLOps Jobs board https://mlops.pallet.xyz/jobs // MLOps Swag/Merch https://mlops-community.myshopify.com/ // Related Links --------------- ✌️Connect With Us ✌️ ------------- Join our slack community: https://go.mlops.community/slack Follow us on Twitter: @mlopscommunity Sign up for the next meetup: https://go.mlops.community/register Catch all episodes, blogs, newsletters, and more: https://mlops.community/ Connect with Demetrios on LinkedIn: https://www.linkedin.com/in/dpbrinkm/ Connect with Abi on LinkedIn: https://www.linkedin.com/in/goabiaryan/ Connect with Matt on LinkedIn: https://www.linkedin.com/in/matthewsharp/

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