Paul Schick

Lead cloud architecture and system design for enterprise healthcare and legal clients, applying design patterns and API integration in Java and RESTful APIs to improve scalability and compliance.

Demonstrate generative AI prototypes to technical teams, building large language model applications in Python and Docker to address client gaps and deliver concrete solutions.

Create open-source and internal AI projects using prompt engineering, agent orchestration, and AI agent workflows to accelerate agentic development.

Partner with sales executives on GCP pre-sales engagements, crafting AI solution proposals for VP-level stakeholders that moved deals toward closure.

Mentored 7 developers across 4 Scrum teams and led code reviews and pull requests, keeping engineering standards consistent across a multi-team program.

Conducted 50+ technical interviews, screening consultants so client teams hired engineers who could deliver.

Built member-facing single-page applications with React, TypeScript, JavaScript, HTML, and CSS, applying responsive web design so health-plan members could find care providers online.

Developed Spring Boot and OpenLiberty back-end services exposing RESTful APIs with JSON over DB2 and Oracle relational databases, using asynchronous processing to serve member and provider data.

Modernized a legacy WebSphere application by migrating it to OpenShift, OpenLiberty, Java 21, and Gradle, retiring a platform the client could no longer support.

Built that migration's CI/CD pipeline, running unit, integration, and end-to-end tests to give the client a repeatable modernization path.

Designed and deployed the production Azure infrastructure with Terraform, provisioning VMs, networking, and storage, increasing availability and reducing deployment time.