We worked closely with the client to understand their requirements and developed a customized solution that met their specific needs. Through careful planning and execution, we were able to successfully migrate their pipelines to Azure Pipelines. 

The client’s data science team lacked access to GPUs, so they undertook manual ML model training, which led to slower processing time. The Matoffo team used Python and the Ray Tune library to improve processing speed and enable cluster computing in AWS with autoscaling.

Partnering with multiple market-leading healthcare and financial organizations, software vendors, and startups, our client delivers a service that allows companies to define whether their cloud infrastructure complies with modern security standards, such as HIPAA, GDPR, etc.

The Matoffo team decided to use MongoDB Atlas as a hosting platform for MongoDB. This service provides better performance, scalability, and availability. We created a multi-region cluster with proper cluster size and backup policy.