Christopher william huebner

Owned enterprise application modernization from requirements and architecture through production delivery, designing secure Python/FastAPI services and user-facing integrations for document intelligence, search, decision support, and workflow automation used by thousands of employees. Built reusable API-first components and integration services connecting enterprise applications with AI agents, in

Built and shipped production AI-enabled web applications using React, Angular, JavaScript/TypeScript, HTML/CSS, Node.js, and Python services, giving internal users interactive access to analytics, recommendations, and prediction workflows. Engineered scalable backend services with Python, Flask, Django, Java, Node.js, REST/GraphQL, PostgreSQL, MongoDB, and Redis, supporting millions of monthly pre

Built Python/Flask services, scheduled scoring integrations, and SQL-backed workflows that made healthcare analytics accessible to business applications and reporting systems while shortening model-to-business delivery cycles by 35%. Developed reusable data interfaces and analytical datasets joining medical claims, pharmacy, eligibility, clinical, and provider information.

Built and maintained customer-facing applications and backend services with C#, .NET, ASP.NET MVC/Web API, Python, REST/SOAP, and SQL, improving average request processing time by 24% through code and query optimization. Developed reusable interactive frontend components with JavaScript, jQuery, AngularJS, HTML5, CSS3, AJAX, and Bootstrap.

Earned a Bachelor of Science and a Master of Science in Computer Science from the University of California, Berkeley.

Earned a Master of Science in Computer Science from the University of California, Berkeley.