Yudhiesh Ravindranath is currently working as MLOps Engineer at MoneyLion where he focuses on developing and implementing end-to-end machine learning (ML) systems. Besides that he also works closely with data scientists and software engineers to ensure that ML models are integrated into production systems and are performing optimally. In this episode, Yudhiesh shared about his current works, side projects and what it takes to be a MLOps Engineer. Featuring Yudhiesh Ravindranath - LinkedIn Yudhiesh Ravindranath - GitHub Yudhiesh Ravindranath - Medium Notes and Links Asia Pacific University of Technology & Innovation (APU) Omdena MoneyLion Continuous integration/continuous delivery (CI/CD) Data Pipelines with Apache Airflow Effective Data Science Infrastructure MetaFlow Arize: ML Observability Platform Continuous Testing of Machine Learning Projects (GitHub) Leave a voice message https://anchor.fm/aimldatatalks/message
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