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.
Loyola University Chicago
Highest Achievement
in Computer Science
Graduated with a 4.0 GPA (2007–2009), earned Loyola’s highest computer-science honor, and served as a teaching assistant for two computer-science courses.
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 ↗