Writing Clean, Production-Level ML Code with Laszlo Sragner
December 7, 2022
In this episode of MLOps Live, Stephen is joined by Laszlo Sragner, Founder at Hypergolic. Laszlo discusses how important clean code and architecture are in developing ML products and uses case studies to explain how teams optimize ML products with clean code refactoring. They also discuss clinical practices of clean code and architecture for developing ML products.
There has been an increase in machine learning, which has caused MLOps engineers to be faced with the challenges of cultivating a culture of implementing clean codes when developing ML products.
Laszlo sheds light on the standard practices of clean code and clean architecture in the development of ML, how to release better models and production environments, and how to improve your products' quality.
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Previous guests include: Andy McMahon of NatWest Group, Jacopo Tagliabue of Coveo, Adam Sroka of Origami, Amber Roberts of Arize AI, Michal Tadeusiak of deepsense.ai, Danny Leybzon of WhyLabs, Kyle Morris of Banana ML, Federico Bianchi of Università Bocconi, Mateusz Opala of Brainly, Kuba Cieslik of tuul.ai, Adam Becker of Telepath.io and Fernando Rejon & Jakub Zavrel of Zeta Alpha Vector.
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