I'm a 29-year-old from Arkansas who applies reconnaissance, threat assessment, and security skills — trained across federal, state, and private security roles — to analyze complex data and track adversarial influence online.
I swore into the Army National Guard at 17, trained at Fort Benning as a Cavalry Scout (19D), and later worked in state corrections and private security (G4S). These roles demanded strict objectivity: observing environments, documenting facts, and separating actionable threats from background noise.
In late 2024, I noticed severe polarization and coordinated narratives dominating social media. The mainstream narratives from both sides felt like coordinated influence campaigns. I approached this the way I was trained — by tracking signals, not decoding content. I began teaching myself Python in October 2025 to automate this tracking, and within months built multi-agent AI pipelines processing unstructured data at scale.
Today I ship production systems. Two live commercial products, 15+ open-source repositories, and a documented analytical methodology that survived independent stress testing. I build OSINT pipelines, procurement automation, and AI-powered research tools — and I'm available for contract work where precision, security, and reproducibility matter.