Everything from my time at T-Mobile, leading ops strategy and media-org enablement, is on the resume. This page starts where that ended: what I've built since, hands-on. Shipped, running, and in daily use.
Two folders below: one for what's running behind my job search, one for everything else I've kept building, for the same underlying reason. Find the repetitive, annoying parts and build my way out of them.
A job-search operations system that runs itself every morning: scans Indeed, ZipRecruiter, LinkedIn, and other select sites, dedupes and scores listings against my target roles, reads Gmail to keep application stage current, and audits older postings by checking their live URLs, auto-archiving the ones that have closed or been pulled.
Runs unattended daily · integrity gate added after a sync conflict truncated data twice.
A structured personal-context library covering identity, brand statements, personality assessments, and 360-degree feedback, so any AI tool I hand a task to starts with real context instead of a blank prompt.
An Obsidian and NotebookLM-based capture system that turns podcasts, articles, and meeting notes into a searchable, summarized library instead of scattered bookmarks and half-remembered takeaways.
Vault foundation shipped and verified · capture automation underway now.
A resume system that separates facts from presentation: a component library of approved achievements feeds a Word template, and every output clears structural verification, a job-description fit score, and factual-drift checks before it ships.
Generates a tailored resume per job description · nothing ships below 80% fit score and 100% factual accuracy.
Takes a job posting (URL or pasted text) and turns it into a downloadable briefing: the role's reality, company and org context, stakeholder landscape, and a grounded comparison against my work history.
A dark-themed executive briefing with a print-friendly mode · one self-contained file, saved for download.
After relocating to Atlanta, I wanted to know who in my professional network I was suddenly close to. LinkedIn couldn't answer that, so I built an interactive map with filtering, relationship intelligence, and an outreach tracker layered on top.
The gap it closes: spreadsheets don't visualize location, CRMs are built for sales, and LinkedIn keeps everyone inside its feed.
Outside my own search, I've been helping small local businesses see how they show up in AI-driven search (Google AI Overviews, ChatGPT, Perplexity, and Copilot), not just traditional Google rankings.
The part that matters most: a raw score turned into a fix roadmap ranked by impact, not a flat checklist.
A partly built concept for controlling my kids' tablets remotely from the front seat: pause, swap, or shut off what's playing over the car's local Wi-Fi, with no internet connection required.
A local, Python-based tool that pulls track metadata from Spotify's API and matches audio through an alternate source, so my kids can listen to music, audiobooks, and podcasts offline on non-internet devices during long road trips and flights.
11 documented rebuild iterations before the architecture held · complete and in use.
A content pipeline for my wife's private practice: a voice-profile intake captures her tone and perspective, then a topic generator and draft engine turn that into ready-to-review blog posts and Google Business Profile updates.
A 104-chapter customizable home-maintenance guide with its own production system: a chapter template, safety-review classifications, and a tracker so quality holds steady instead of drifting.
Pilot chapters now in revision under the finalized template.
A system for compiling and organizing what tax season requires: my personal return plus my wife's small businesses, pulled together so the accountant handoff is clean instead of a last-minute document scramble.
I work best where strategy, systems, and execution meet, and where AI can strip the friction out of all three.