Summary
Holland Gibson is a staff-level Lead Software Engineer with 10 years of experience building ML-driven data solutions for government and enterprise clients. He blends hands-on machine learning engineering—spanning computer vision, NLP, anomaly detection, and PyTorch-based model development—with production-grade backend, CI/CD, and containerized deployment expertise on Kubernetes and AWS GovCloud. Holland has a track record of running end-to-end deliveries for DoD customers, managing multi-person engineering efforts and performing onsite installs and stakeholder-facing requirements work. A West Point graduate with an MS in Computer Science focused on Machine Learning, he pairs disciplined operational leadership from military cyber roles with an ability to translate research and new AI techniques into practical, secure systems. Notably, he steers software supply-chain hardening and vulnerability tracking to make ML systems auditable and resilient in constrained federal environments.
10 years of coding experience
3 years of employment as a software developer
Bachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at United States Military Academy at West Point
Master of Science - MS Computer Science / Machine Learning, Master of Science - MS Computer Science / Machine Learning at Georgia Institute of Technology
English, French