Charles is a Lead ML platforms engineer at MavenCode. He has well over 15 years of experience building large-scale, distributed applications. Topic: Enterprise MLOps in Practice. How to efficiently get your Machine Learning Models from Notebooks to Production!
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Charles is a Lead ML platforms engineer at MavenCode. He has well over 15 years of experience building large-scale, distributed applications. He has always been interested in building distributed systems. He has extensive experience working with Scala, Python on Apache Spark. Most recently he’s been working on Machine Learning Workload containerization and deployment on Kubernetes.
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