Designed and built the Azure FedRAMP Moderate platform end-to-end, enabling secure cloud adoption for

Replaced a costly STIG scanning tool with an open-source solution, saving ~$10k per customer and 20–30

Served as primary contributor and designer for the PaaS GCP platform, establishing secure and compliant

Standardized CI/CD pipelines and delivery practices across multiple teams for infrastructure and application

Designed and implemented a unified API ecosystem for AI tools through cross-team collaboration, improving

Worked closely with business stakeholders, product managers, and department heads to align technical initiatives

Mentored engineers, conducted interviews, and raised company-wide code quality standards.

Automated compliance workflows for FedRAMP and vulnerability management, reducing SecOps workload

Developed extensible automation frameworks (Python 3 + Click CLI) and dynamic Azure DevOps pipelines for IaC

Drove contributions to kube-bench open source, addressing critical gaps and accelerating compliance with

Built and optimized networking solutions across AWS, Azure, and GCP, including Istio service mesh for

Helped accelerate adoption of cloud platforms across global engineering hubs, reducing environment

Led multiple projects end-to-end, including architecture documentation, presentations, JIRA management, and

Collaborated with global teams across the US and Germany; ran workshops on Pulumi and Consul.

Automated operational tasks to improve team efficiency and reduce on-call overhead.

Acted as engineering liaison, presenting products to stakeholders and driving adoption across departments.

Contributed to micro-frontend projects that accelerated UI development across teams.

Planned and built test framework for testing in-car applications' REST calls.

Created over 200 tests and implemented the framework to validate automated build environment including testing cloud VM's, VNets, subnets, network peerings and Kubernetes configurations.

Built Jenkins scripts to automate test runs with results-over-time reporting built in.

Containerized tests to simplify deployment.

Expanded on Java + Gatling framework to implement active monitoring of Kubernetes internals and cloud infrastructure components.

Created Kubernetes clusters via containerized automation with Terraform.

Built containerized load testing framework using Java and JMeter that implemented data mocking strategies to fit real world scenarios and draw useful statistical analysis on a PowerBI front end. Jobs scheduled with TeamCity.

Built a single set of front end tests with Selenium that worked across Safari, Chrome, IE, Edge and Firefox in C# on a custom test framework. Involved extensive modification of the framework and implementation of Page Object Model as C# classes.

Implemented Cucumber/Protractor integrations with beta version of application.