Release process engineering for AI product

Currently, architecting release process engineering for the development team at omnius. Our customers are either enterprise on-premise customers or enterprise cloud customers. In both the scenarios, we have restricted or sometimes no access. We are a team 30 engineers, data scientists and devops. Because of the sensitivity of the data that we work on, we decided to run our own mini data center from our HQ in Berlin. As part of release process engineering, we are creating various environments running kubernetes to support our branching strategy in order to provide good, tested software to our customers.

Facebook release Engineering with Chuck Rossi

Nischal Harohalli Padmanabha
Software Engineer by profession, filter kapi drinker by choice.

My research interests include deep learning, large scale engineering and social interactions.