Career narrative

Pre-Army

West Virginia and Maryland upbringing. Mechanical and process-oriented temperament from the start. Did not finish a four-year degree on the front end of the timeline; enlisted instead.

Army, 2001 — 2021

Twenty years in. Ground operations into rotary-wing aviation. Earned the Warrant Officer rating and qualified as a Standardization Instructor Pilot — the role where your signature certifies that other pilots are ready to fly the standard. Deployed across multiple theaters. Managed multi-million-dollar aviation assets and a multi-million-dollar test and evaluation program with a strong safety record. Specifics of unit assignments and mission profiles stay in private conversation, not on the public page.

What the Army taught me, in a sentence: standardize, train to the standard, evaluate against the standard, then improve the standard. The vocabulary changed when I moved to manufacturing. The discipline did not.

Degrees, earned during active service

Embry-Riddle Aeronautical University.

• Master of Science in Unmanned Systems
• Bachelor of Science in Aeronautics

Both completed while on active duty. The unmanned-systems work is where the AI and autonomy threads in my background started.

The transition, 2021 — 2022

Left active service. Knew I wanted to work in operations, in manufacturing, in a place where the discipline carried. Joined Allmine Paving, a Tamko Building Products subsidiary, as Quality and Raw Materials Manager. Started small, got into the data quickly.

Allmine / Tamko Operations Manager, 2022 — 2024

Promoted to Operations Manager. Full plant accountability for safety, quality, production, cost, and people. Started shipping the operational-AI playbook on the floor — real-time analytics first, then AI-based PID tuning, AI-assisted shift hand-offs, SCADA-driven digital-twin monitoring. The discipline from aviation translated directly into how I ran the shift, the rollout, and the operator hand-offs.

Cut unplanned downtime on the lines I owned by roughly thirty-five percent over an eighteen-month run. The gains held through a leadership handoff, which is the harder test than the initial number.

Tamko AI & Six Sigma Lead, 2024 — present

Corporate watched the subsidiary outcome and asked me to take the pattern enterprise-wide. Promoted into the corporate AI & Six Sigma Lead role. Today the scope is nine manufacturing plants and a documented playbook: real-time analytics, predictive control, digital-twin monitoring, automated reporting, and the human workflow that has to surround each of those for them to stick on a factory floor.

The job is half engineering and half rollout discipline. I am running the same operating loop I ran in aviation: standardize, train, evaluate, improve.

Parallel personal system

Alongside the corporate work I have been building Overseer — a personal multi-agent operating layer that runs across a Mac and a VPS. Ten production services. Postgres-backed event bus. A remote MCP server reachable from Claude Desktop and ChatGPT. About seventeen thousand five hundred durable memories. About sixty-five proposed actions a week, all gated by one-tap approval. It is the same architectural posture I bring to industrial AI, just at personal scale.

The corporate work pays the bills and ships the playbook. The personal system keeps me current on what works and what does not in agent-based architecture.

Why I’m looking now

Tamko has been good. The playbook works. The next stretch for me is a senior role where AI is part of the company’s core operating value, not a corporate side-program. Either a manufacturer or process operator that is serious about the operational layer, or an AI company that needs someone to run the operations around the product. Either fits the operating posture I bring.

What’s persistent

Wife and two young kids. Harpers Ferry, West Virginia. Eastern time. Not chasing relocation. Looking for the right next thing, not the fastest next thing.