About / Ryan Gentry
About Ryan
I'm Ryan Gentry, an electrical engineer based in Michigan. For 16 years I worked in reliability, maintainability, and product-support engineering for complex fielded equipment at a federal sustainment organization. The work was about one question: once a system leaves the factory, can the people using it actually keep it running?
That meant failure-mode and repair-level analysis, deciding which maintenance tasks belong to which level of support, verifying procedures before release, and running down field failures when they happened. I led teams of up to about 30 people and built a 13-person maintenance engineering section from scratch.
Now I apply that engineering discipline to AI and automation. I also run a home lab where I build, commission, and deliberately break AI systems, and I write up what I learn.
See the workSelected results from my federal career
- Verified a 470-procedure maintenance manual in two months, catching documentation gaps before release.
- Cut a cross-organization cataloging bottleneck from 9+ months to 1-2 months.
- Rebuilt a 2,000+ line parts and configuration baseline so a complex system could be supported, and led its obsolescence work.
- Recovered more than $1M of material by retesting failed lots in smaller sub-lots instead of scrapping them.
- Led response to a field defect: formal safety notice, regular status cadence, and cross-organization coordination.
- Helped cut contracting lead time from up to 24 months to 2 months for unpredictable, surge-driven demand.
Program details, protected work, and internal government material are deliberately left off this site.
Background
- B.S. Electrical Engineering, Oakland University
- Life Cycle Logistics, Level III (federal acquisition certification)
Ways to work together
Any of these could be the next step. I would rather choose based on what the work shows than on how quickly I need an answer.
Infrastructure, AI systems, internal tools, and experiments.
A platform, infrastructure, AI, or operations role with room to improve how things run.
Helping an organization see how its own workflows and responsibilities actually work.