Inside the Engine: CMT Engineering

Building towards a Flexible Dynamic Autoscaling Architecture with Ray / EKSRay - Part 2
In our previous post, we explored the fundamentals of RayClusters and RayJobs within EKSRay. Cambridge Mobile Telematics’ (CMT) in-house data science platform EKSRay, built upon Amazon EKS, Kubernetes, KubeRay, and...
July 28, 2025

Leveraging Design Tokens for Scalable and Consistent UI Design
In modern mobile application development, it’s a challenge to maintain design consistency across multiple platforms, devices, and teams. Design tokens are a powerful methodology that helps streamline UI development by...
May 22, 2025

Building towards a Flexible Dynamic Autoscaling Architecture with Ray / EKSRay - Part 1
In today’s data-centric landscape, organizations increasingly depend on processing vast datasets to extract actionable insights and maintain a competitive edge. However, as data volumes grow, traditional data processing platforms (such...
March 19, 2025

Scaling Deep Learning Workflows with EKSRay: Leveraging DDP and FSDP on Ray and Kubernetes
Deep Learning has evolved to handle more complex models and larger datasets than ever before. At CMT, we leverage this technology to power telematics solutions that enhance road safety and...
February 26, 2025

Building an App Review Classifier and Visualization
At Cambridge Mobile Telematics, we’re always improving our services and products, with the goal of keeping roads and drivers safe. Understanding our consumers’ feedback and translating it into actionable insights...
January 29, 2025