Captech has contributed to several major products and releases throughout the project. Our consultants were responsible for building new features for the internally developed Python package that allows users to easily connect to and use AWS resources from Airflow. The use of this package contributes to the unique MLOps experience at the client and has resulted in a dramatic reduction in development time for new models. Through this development, CapTech was entrusted with the responsibility of supporting data scientists in productionizing and deploying ML models they had developed.
In addition to supporting the existing platform, CapTech consultants performed an evaluation of Databricks as an alternative development platform for MLOps. As a result of this evaluation, Databricks became the new standard for the company and CapTech has been responsible for testing and building new best practices, as well as onboarding data scientists to the new platform. Use of Databricks has generated many improvements including, improved scalability, direct integration of ML Tools, easier permissions sharing, and a notebook development environment for the analytics team.