Building things that actually get used - for growing companies, complex industries, and problems that are genuinely worth solving.
I build the bridge between what you have and what you need.
Someone who has lived the problem, not just studied it.
A long runway of building things that get used.
Close to two decades across academia, industry, and startups: Intel, Accenture, C3 AI, Johns Hopkins, the NIH, and KU Medical Center. Enterprise AI implementations, cognitive computing platforms, pharmacovigilance systems, predictive analytics in financial services and insurance, clinical decision support, and revenue-cycle intelligence. The experience behind it is what makes the work worth trusting.
The projects below are current, where that experience goes to work.
A regulated compliance operation, fully digitized. What used to live in paper and spreadsheets now runs as a customer-facing system. Live and in use.
The course registration materials were genuinely confusing. Built a planner. Nobody asked. The cohort used it. Then built a class-wide dashboard for 40 students to coordinate electives and form study groups. One holdout out of 41. Neither needed AI. Both needed someone who picked the right tool for the right problem.
View Tools →Exploring the modernization of organ transplant coordination. The obstacles aren't technical. They're organizational and institutional. There is genuine interest in the community to understand what's possible. That's where the exploration begins.
99th Centile Intelligence and Navigation Advisor (NINA) - A conversational AI readiness agent built for this site. Not a quiz. Not a form. A structured conversation that surfaces where an organization actually stands on AI and where the gaps are. Designed with enterprise readiness, governance, and data privacy built in from the start.
Experience it →A journaling app for parents of premature infants in the NICU, personal and still unfinished. Because not everything worth building has a business model yet.
I work with organizations that have operational complexity, data they can't yet use, or an AI decision they need to get right.
Making complexity legible. Paper processes, fragmented systems, data that exists but isn't useful, turned into systems people actually use.
Right tool, right problem. Agents, automation, and LLM integration that removes the right friction from the right workflows, not AI for its own sake.
Structured engagements for organizations that need to understand the landscape before they can navigate it. Discovery workshops, AI literacy training, and leadership sessions for corporate, academic, and industry audiences.
Retainer, project-based, and fractional support. For organizations navigating AI and digital transformation, including governance and responsible implementation. Someone who has built things, not just advised on them.
And sometimes it isn't even appropriate to use AI for the scenario at all. Knowing when not to reach for it is part of the job.

I've spent close to two decades at the intersection of academia, industry, and enterprise, starting in research labs at KU Medical Center, Johns Hopkins, and the NIH, then moving into technical and strategic roles at Intel, Accenture, and C3 AI. At Intel I was part of the original team that launched Optane Persistent Memory, the world's first persistent memory product, and spent years at the Saffron AI group working on cognitive computing and associative memory. Fourteen of those years have been in the practice of AI, predictive analytics, pattern detection, and the harder work of getting organizations to actually use what gets built.
I've worked inside Fortune 500s and academic medical centers. I've sat across from CTOs figuring out where to start and operations teams buried in process debt. Some AI implementations transform how organizations work. Others get delivered, celebrated, and never opened again. The difference is rarely the technology. It's almost always the problem definition, and whether anyone understood what actually needed to change.
That pattern is what I work on now. Through 99th Centile Solutions I work with organizations navigating AI adoption, operational complexity, and the gap between what's technically possible and what actually gets used. Two patents, a decade of enterprise AI experience, and enough failed implementations observed up close to know what separates the ones that land from the ones that don't.
I'm finishing my EMBA at Rice to embed myself in the Houston ecosystem and build the kind of relationships that serious work is built on.
Based in Houston. Working with organizations that have real problems and no patience for solutions that don't survive contact with the real world.
Labs · Ready for an adventure any time
The chocolate & cream palette is a quiet tribute to my two Labs, Trooper the chocolate and Ginger the yellow.
Built to be useful before we ever talk.
NINA, the 99th Centile Intelligence and Navigation Advisor. Enterprise-ready, governance-aware, and built to surface where your organization actually stands on AI. Not where you hope it does.
Try NINA →It's almost never the technology. What actually goes wrong, and what to do about it before you're too far in to course-correct.
Read →What readiness actually looks like versus what organizations think it looks like. The gap between buying a tool and being ready to use it.
Read →
NINA is our AI readiness agent. Enterprise-ready, governance-aware, and built to surface where your organization actually stands on AI. Not where you hope it does.
Try NINA →Thank you for reaching out.
I'll be in touch shortly.