New York, New York, United States
Matt specialized in delivering cloud, DevOps, and ML solutions to clients. Major accomplishments include:
➡ Implementing a network migration solution that allowed 100+ AWS accounts supporting over $10 million of operations a day to adopt on-prem connectivity via Transit Gateway Hub using Python
➡ Building CI/CD pipelines and infrastructure using GitHub Actions and EC2-backed ECS clusters for Docker, .NET Framework, and C++, enabling over 2000 projects using noncompliant DevOps practices to use centralized pipelines
➡ Architecting and developing a "golden container" service that provided a self-updating registry of 20+ security-approved base Docker images to secure the software supply chain, reducing Critical/High CVEs by 75% and covering 83% of org-wide container usage with an inner-sourcing model to take care of the rest
➡ Defining SLOs, building reusable Datadog dashboards in Terraform, and creating metric monitors for the team's services.
➡ Leveraging AWS and Azure automated machine learning tools for 2 clients: detected prescription errors for a large hospital system and classified time series data to assess IoT product feasibility
➡ Hand-building and delivering machine learning models to 2 nonprofit clients to predict and understand mental health outcomes, informing data-driven intervention strategies at the policy and clinical levels