Platform · AI · Open source

Building technology
that moves people forward.

I’m Carlos Eiroa, an enterprise platform leader who brings together engineering, product thinking, and practical AI to make complex work simpler.

Chicago, Illinois

From university research to enterprise licensing platforms, AI-assisted engineering, and community-maintained software, I care about useful systems: the kind that help organizations—and the people within them—do more meaningful work.

Selected work

Depth across platforms,
curiosity beyond them.

01 / Current project

CieloRumbo

A flight-planning tool for VFR cross-country pilots. Built from the perspective of a pilot in training, it brings route planning, weather, airspace awareness, aircraft profiles, and navigation logs into one focused workflow.

Explore the project

Built end-to-end with Codex in a few days—organized into test suites, with the relevant suite run before every commit.

02 / Open source

Salesforce
Foundation

Made significant hands-on contributions to the Salesforce Foundation’s open-source ecosystem, including the Nonprofit Success Pack and Education Data Architecture. These projects help mission-driven and education-focused organizations get more from Salesforce.

Community software, real-world impact.

Foundation

Education & recognition

Today

Licensing
& monetization

Software is moving from seat-based licensing toward commit-and-overage and usage-based models, and AI consumption is accelerating that shift. I lead an engineering team behind licensing and subscription management at ServiceNow, working on the problems that come with it: knowing what a customer is entitled to, measuring what they use, pooling and governing consumption at the account level, and keeping one trusted source of truth across commercial systems. It’s a quiet part of the stack, but it decides how customers access products and how companies can charge for AI predictably.

See it in the product

Day to day

Working
with AI

I use Claude Code every day, wired into the workflows my team already uses, to get from idea to reviewed change faster. A few things I’ve learned: treat AI output as a draft that still needs tests and review; keep people accountable for what ships; write context down (shared skills, onboarding material) so the whole team benefits, not just one person; and start small, measure, and adjust. I also build lightweight artifacts for my own reference and for sharing with small groups.

Published research

IEEE
Computing in Science & Engineering

Co-author of “Putting a Slug to Work”, published in 2009—an exploration of practical, low-cost embedded Linux computing.

Read the publication

Credentials

  • AI Fluency Framework & Foundations2026
  • Claude Code in Action2026
  • Claude Code 1012026
  • ServiceNow Certified System Administrator2025
  • Salesforce Certified Scrum Master2021
  • Salesforce.com Certified Force.com Advanced Developer2013
  • Salesforce.com Certified Administrator2013
  • Salesforce.com Certified Force.com Developer2012
  • Sun Certified Java Programmer, SE 62010

Patents

  • Conditional Processing Based on Data-Driven Filtering of Records

    US20170322938A1 · Issued 2021

    Rules-based filtering that decides which records in a bulk operation get processed further.

  • Method for Deterministic Reconciliation and Matching of Payments with Accounts Receivable

    US20210241384A1 · Filed 2020

    Deterministic reconciliation of incoming payments against pledges, installments, and fund allocations for a donation-management system.

  • Method and System for Implied Revenue Recognition

    US20200327581A1 · Filed 2019

    Revenue-recognition logic that adjusts recorded revenue when actual payment schedules diverge from pledged installment plans.

Let’s connect

Interested in building
something useful together?

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