Who is Richard?

Holding a PhD in neuroscience, Richard has deep experience in the intersection between advanced data analysis and high performance computing. During his PhD, he employed a wide variety of machine learning techniques to automate the analysis of clinical data with a microservices-based architecture on Kubernetes. Since then, he has been an Insight fellow working on immutable deployments of validator node infrastructure focusing specifically on monitoring and alarms. Currently, Richard is a freelance DevOps/Data engineer.