AI ENABLEMENT · PRODUCT · OPERATIONS · SECURITY

I build

OPEN TO RELOCATIONCONSIDERING GLOBAL ROLES
SOC 2TYPE 2 · AUDIT COMPLETE

Led the GRC team through certification

25 → 75OFFSHORE ORG SCALED

Support and delivery across LATAM and Eastern Europe

5 SYSTEMSBUILT, NOT BOUGHT

AI triage, production monitoring, and two full applications

4 ROLESFUNCTIONS BUILT, ONE COMPANY

Support, engineering ops, product ops, security and compliance

A LITTLE ABOUT ME

I like finding the better way to do the work.

I’m based near Austin, Texas, and have spent four years inside a healthcare AI company across support, engineering operations, product operations, and now security and compliance.

I’ve scaled an offshore organization across Latin America and Eastern Europe, run the product-strategy operating cadence at board level, and personally built the AI tooling and internal systems rather than only specifying them.

Now I’m looking for a senior role leading AI and operations at a company deploying AI for real. I’m open to relocation and considering opportunities globally.

CAREER TRAJECTORY

Four roles at one company. Each one a function that needed building.

JOINED THOUGHTFUL AI IN 2022 AS THE FOUNDING POST-GO-LIVE HIRE. MOVED INTO EACH NEW FUNCTION AS THE COMPANY GREW, THROUGH A MERGER AND LATER SEPARATION. NOW SMARTERDX.

Software Implementation Consultant

Bureau Veritas

Project Manager

CDW — ServiceNow Solutions

Technical Trainer

HospitalPortal
Full history in the résumé ↓

Most recent
projects.

PROJECT 001M&A / DEAL OPERATIONS

One place for every deal, and an analyst that reads the file first.

Deal material arrived as email attachments and lived in whoever’s inbox got it. This pulls every target into one workspace, runs analysis across the uploaded documents to surface the figures and the risks, and keeps the correspondence attached to the deal it belongs to — behind Google sign-in, because none of it should be one forwarded link away.

  • Google SSO · per-deal access
  • 4 document types parsed
  • Risk flags surfaced for review
PROJECT 002COMPUTER VISION / PROCESS QA

It learns the job from the written procedure, not from labelled footage.

Give it the SOP as a document and a video of the work, and it time-stamps every step, checks the order against the procedure, and flags what happened out of sequence or not at all. No annotated frames, no sample runs to train on — the written process is the only specification it gets.

  • No labelled training data
  • Steps time-stamped and ordered
  • Out-of-sequence work flagged
PROJECT 003ECOMMERCE / SUPPORT RESOLUTION

An agent that can act, inside limits it can’t change.

It answers order and product questions, resolves low-value problems on its own, and stops at the line a fixed policy engine draws. Every decision shows its work — what passed, what failed, and why a case went to a person instead.

  • Policy engine, not model judgment
  • Acts only inside fixed limits
  • Escalates with a full case file

Let’s talk.

Open to product operations, program management, and applied-AI roles — including relocation. Considering opportunities globally.

EMAILhirecody.dev@gmail.comRÉSUMÉDownload PDF
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