About Me
I am an Enterprise Architect/AI Engineer/Programmer with decades of experience in systems architecture, AI/ML, and software engineering. My career spans startups, industry, and government. I am hands on keyboard; in all roles and all team sizes. I fix stuff and make it work, on time.
Outside of work, at Applied Autonomics, I build and host web services, advise start-ups, mentor high performers, and build Agentic AI systems.
Work Experience
2022 – Present
Analysis and Prediction Division
Chief Enterprise Architect & Lead Developer, NOAA Office of Water Prediction
I design and deliver cloud-native data APIs as microservices, deployed across AWS and on-prem clusters, processing terabytes of hydrologic data. These APIs power NOAA’s core forecast systems that protect the U.S. from flooding risks, fatalities, infrastructure damage, and business disruption.
In parallel, I establish and maintain enterprise policies and pipelines for SDLC, DevOps, and SecDevOps, ensuring compliance, reliability, and scalability.
2004 – PRESENT
Founder & Owner
Applied Autonomics LLC
Web Services and Agentic AI Projects
Founder, Lead Developer in AI Operations, architecting a microservices-based Django platform supporting your career arc—from landing a good job, accessing career development, and keeping track of work. Delivered containerized, full-stack solutions, enhanced by AI-driven reasoning, task automation, and context-aware workflows. Focused on secure, scalable, and observable architecture, integrating DevOps, AI Ops, and cloud-native patterns for intelligent operational support. Deployed on public and private clouds.
1999 - 2004
Principal Engineer & Partner Manager
IBM
Enterprise project recovery and support, world wide and hemisphere. Consistent over quota sales performance individually and in team leading role. Designed, built, delivered multiple successful joint offerings with consulting partners. Managed engineering sales and partner relationships for IBM Software Division.
