Summary
Christopher Moroney is a Senior Solutions Architect with six years of hands-on experience building scalable full-stack systems, data pipelines, and production ML solutions. He blends .NET, Python, and C# backend engineering with React front-ends, Terraform-driven Azure deployments, and CI/CD practices to deliver reliable, enterprise-grade applications. Christopher has practical experience optimizing large healthcare datasets, translating legacy SAS workflows to Python, and fine-tuning TensorFlow and PyTorch models for performance. He has applied prompt engineering and agentic generative-AI workflows to automate job-search processes and created curriculum around Generative AI, demonstrating both applied research and teaching skills. Based in Sammamish, WA, he thrives on mentoring teams, driving client-focused engineering, and turning complex data problems into automated, production-ready solutions. An early course contributor at DeepLearning.AI, he pairs academic rigor with pragmatic product delivery.
6 years of coding experience
3 years of employment as a software developer
Associate of Arts and Sciences - AAS, 3.78, Associate of Arts and Sciences - AAS, 3.78 at Bellevue College
Bachelor's Degree, Computer Science, 3.76, Bachelor's Degree, Computer Science, 3.76 at Seattle Pacific University
GED and High School Diploma, 3.71, GED and High School Diploma, 3.71 at Skyline High School
Spanish, English