What is Data / ML Like on League? // Ian Schweer // MLOps Coffee Sessions #132

MLOps Coffee Sessions #132 {Podcast BTS} with Ian Schweer, What is Data / ML Like on League? co-hosted by Skylar Payne.   // Abstract If you're not an avid gamer yourself, you have never really seen how ML might be used in the gaming space. It's so interesting to see the things that are different like full stories of players' games from start to finish.   // Bio On the surface, Ian is an excellent developer who gets things done. Underneath, he is much more. Ian is a reliable and trustworthy teammate who demonstrates an exceptional ownership mentality.   Here's a fair share of Ian's job history: 2014 - UCI (With Skylar!) 2015 - Adobe Primetime (SWE) 2017 - Adobe Product and Customer Analytics (SWE) 2019 - Doordash Data Infra (SWE) Current - Riot Games on League   // MLOps Jobs board   https://mlops.pallet.xyz/jobs // MLOps Swag/Merch https://mlops-community.myshopify.com/ // Related Links Landing page: https://www.riotgames.com/en --------------- ✌️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 Skylar on LinkedIn: https://www.linkedin.com/in/skylar-payne-766a1988/ Connect with Ian on LinkedIn: https://www.linkedin.com/in/ianschweer/ Timestamps: [00:00] Ian's preferred coffee [02:10] Takeaways [05:14] Please hit the like button and leave us a review. Please subscribe also! [05:45] Engineering Community Mental Health Awareness [07:33] Coping mechanism [09:29] Increase in video game playing   [11:20] Ian's career progression [17:55] Lessons to apply in the Data space [24:23] Challenges at Riot [34:18] Real-time element [39:09] Ian's day-to-day responsibilities [43:13] Analysis vs. Production Code Quality [48:11] Tools and techniques on the reality of writing production codes [55:00] What would you change your career into? [57:00] Ian's best practices advise [58:28] Ian's favorite video game [59:58] Wrap-up

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Weekly talks and fireside chats about everything that has to do with the new space emerging around DevOps for Machine Learning aka MLOps aka Machine Learning Operations.