A-01 / About

Systems, rules, evidence.

I am an Air Force veteran and computer science candidate building an AI governance and assurance practice on a record of algorithmic evaluation, policy work, and maintenance documentation.

The work builds on experience developed in production evaluation, legislative support, technical support, and aircraft maintenance.

My background spans semantic search evaluation, software and account support, public-policy writing, legislative office work, and aircraft maintenance documentation. The common thread is disciplined review under constraints.

Bradley Saucier standing outdoors in a black suit and blue bow tie in front of green foliage.
Bradley Saucier / Bangor, Maine / 2026

A-02 / The Thread

One discipline across three systems.

Aviation, legislative work, and algorithmic evaluation share one requirement: judgment must be documented well enough for another person to inspect.

01 / Aviation

Documentation under consequence.

F-16 maintenance required inspection records, coordination, and technical accountability in a flight-safety environment.

02 / Legislature

Rules under scrutiny.

Legislative support required source-aware writing, issue tracking, and clear communication on military and veterans affairs.

03 / Evaluation

Judgment under policy.

Semantic search evaluation required close reading, structured data judgment, and consistent application of quality standards.

A-03 / Record

A grounded practice for governance.

Claims stay anchored to education, evaluated work, independent analysis, and documented artifacts. Project records state their limits.

Education
BS Computer Science candidate at Southern New Hampshire University, Software Engineering concentration, expected 2026, 3.933 GPA, 119 of 120 credits completed.
Algorithmic evaluation
RaterLabs semantic search analyst and senior semantic search analyst from 2020 to 2024, evaluating relevance against strict quality standards.
Policy foundation
Independent analysis of facial-recognition and tenant-screening risks using NIST SP 1270 and peer-reviewed algorithmic bias literature.
Military service
United States Air Force F-16 Crew Chief, 1999 to 2004, with responsibility for maintenance coordination, inspection records, and flight safety.

A-04 / Elsewhere

Professional record.

Professional history and short public notes on AI risk and assurance are available on LinkedIn.

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