Episode description

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)

  
  

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