I help enterprise teams adopt AI and ship it into daily work.

AI at Meta, Procurement

Problem: a global procurement team working across spreadsheets, disconnected data, and manual recurring processes, with AI tools available but not yet part of daily work.

Built: internal AI applications on Meta's platform and Google Workspace that the team uses in daily work. Automations for recurring procurement workflows. A single source of truth for vendor rates, pulled from separate Excel sheets covering 160+ vendors and three years of history into one governed dataset a team of 50 relies on for rate accuracy. Executive dashboards leadership uses to track procurement value.

Outcome: the systems are in daily production use, documented, and owned end to end by me, embedded with the team.

SkyWay Signal

Problem: home service businesses are invisible in AI answers. ChatGPT and Google AI name their competitors because their websites and profiles are not built to be cited.

Built: an AI visibility service with a free scan as the front door: deterministic checks on a business's web presence, a plain English report with no scores and no invented numbers, and a done-for-you fix. Behind it, a daily content system on agent workflows, with every post researched, drafted, and published only after my approval.

Outcome: live product, daily publication, and a working case study in AI operations. skywaysignal.com

Sideout AI

Problem: beach volleyball clubs, coaches, and jobs are scattered across hundreds of disconnected pages, invisible to search and AI alike.

Built: a national club directory covering 377 clubs in 38 states, programmatic city and state pages, coaching guides, a jobs board with structured posting data, and a weekly podcast. Built to be ranked by Google and cited by AI answers.

Outcome: a live platform that doubles as a build-in-public case study in search and AI visibility. sideoutvb.ai

Pelican City

Problem: a local volleyball brand needs the same operational discipline as any business: a team, a store, events, and content, run by one person.

Built: a tournament team competing at AVP Grass Nationals, a merchandise store, and a content operation covering local beach volleyball.

Outcome: proof of operator range beyond the desk. The same systems thinking, applied to sport. More in Volleyball below.

Personal AI builds

Problem: one person cannot manually research markets, monitor prices and deadlines, draft content, and track applications across several businesses and a job search.

Built: agent systems on Claude, ChatGPT, and Codex with API integrations and Python scripting: research pipelines that file source-checked analyses, monitoring watches with strict alert rules, daily briefings and digests, and a drafting operation where the agent prepares and I approve. The flagship write-up covers the design in full.

Outcome: several operations that would each take hours a day now run in the background, with my judgment kept on every decision that leaves the machine. Read the flagship write-up

On the court

I compete in open-level beach volleyball across Florida and the Southeast, training year round out of St. Petersburg. At 6'6" I play as a blocker, and the training load is periodized like the rest of my work: strength days, court days, and recovery, all tracked.

AVP record:

· Career best: 2nd place at the NORCECA event in San Jose, Costa Rica (2024) with Garrett Bucklin, capping a NORCECA season ranked 5th.
· Best AVP finish: 3rd at Pompano Beach (2026) with Alex Ukkelberg.
· Manhattan Beach Open 2023: main draw with Alex Ukkelberg out of the qualifier, and a first round upset of the #7 seeds, Brewster and Friend, 27-25 and 16-14 in the second and third sets.
· Waupaca 2022: 5th place with Guille Jimenez.
· Muskegon 2022: with Frank Field, played one of the longest sets in AVP history, 41-39, two points shy of the tour record.

Full record: 40 tournaments across the AVP, FIVB, and NORCECA tours. Explore the complete results table

This fall my competing is on the AVP, FIVB, and NORCECA tours. Off the court I sponsor and run Team Pelican City, which plays AVP Grass Nationals, October 23 to 25, 2026, at High Springs Sports Complex.

Highlights and clips: @tp_beachvb

Team Pelican City

Pelican City is my volleyball brand and tournament operation: events, a sponsored team, a merchandise line, and a content operation covering Tampa Bay beach and grass volleyball. The announced Grass Nationals squad is Pedro Carvalho, Sami Jindyeh, and Carlos Jimenez. I sponsor and run the team off the court. Full Pelican City page

Follow along: @pelicancityvb

Coaching

I coach beach volleyball in the Tampa Bay area, working with adult players who want structured training instead of open play. The coaching runs on the same principles as my enablement work: diagnose what is actually breaking down, drill that, measure whether it changed.

Sideout AI and the volleyball builds

The sport is also my testbed. Sideout AI started as a directory for the clubs I kept looking up, and grew into a national platform with a jobs board, guides, and a weekly podcast. If you want the business version, it is in Work above.