Product · AI · Engineering · Austin, TX
Acquired founder. I own the product, the code, and the outcome. Agentic and ML systems in production today for casino resorts, national QSR brands, and public-sector health.
01 — About
~2,500
hotels and casinos running Runtriz, the company I founded
~500K
hotel rooms across that footprint
30M+
users a year at Runtriz
$100M+
client revenue at the company I founded and sold
I founded Runtriz in 2006 as its technical co-founder, built the platform, and led it as CEO to about 2,500 hotels and casinos: roughly 1,300 Best Westerns, 1,000 Radissons, 50 Caesars Entertainment casinos and 100 more. That's about 500,000 rooms, 30M+ users a year, and $100M+ in client revenue. I ran it through its acquisition by Radius Networks.
Scaling it meant scaling the team too. I led 20+ people across engineering, customer support and sales, and I'd done each of those jobs myself, so I coached rather than just managed. Our VP of Engineering joined as an intern. I built his learning path, sent him to classes and taught him AWS.
Today I'm SVP of Product at Flybuy, where I own the hospitality business unit end to end, including engineering, and lead product managers across all three product lines plus solutions engineering. I've been central to our AI adoption: I taught the team to work with Claude, then pushed them to build their own tools. Design turnaround went from about a week to a day or two, and our solutions engineer went from one dashboard every couple of weeks to several a week. I'm also Co-Founder & CPTO of CommonLight, a health-access data platform for public-sector customers.
I'm a player-coach. I lead best from inside the build. I map the operator's workflow, decide where a model belongs and where plain rules win, build it, and measure what it's worth. The roles I take: VP Product, CPO, Head of Product, founding CPTO, and forward-deployed AI leadership.
English & Spanish bilingual.
2023–Present
Radius Networks | Flybuy
Product org across three product lines plus solutions engineering. Led AI adoption.
2025–Present
CommonLight
2006–2023
Runtriz (Acquired by Radius Networks)
Led a 20+ person org across engineering, support and sales, through acquisition. Scaled to ~2,500 hotels and casinos.
02 — Shipped
One proof line each.
Five legacy apps into one · 88 → 1,894 tests · 50%+ cost cut
Took ownership of a hotel and casino ordering platform and rebuilt it in one quarter: staff tools, F&B delivery, dynamic pricing, offers, A/B testing, and Toast and Agilysys InfoGenesis POS integrations.
Platform · Hospitality · Integrations
Running at a live property · operators approve every change
An agent that analyzes menu performance for a national casino and resort operator (revenue per impression, demand forecasting, bundling, price elasticity) and drafts changes into an approve, apply, and revert queue. Operators keep the final call.
Agentic AI · Hospitality · Revenue
43× lift on high-risk predictions · 0.774 AUC on a 340-day walk-forward backtest
Predicts digital-ordering disruptions across a national QSR brand's footprint before they cost revenue.
ML · QSR · Real-time
50–70% forecast accuracy improvement
ML arrival prediction that turned pickup logistics into predictive operations for QSR, grocery, and retail brands. It addressed the top churn driver for enterprise accounts.
ML · QSR & Grocery · Real-time
Live with public-sector customers · HSDS v3.0
An API-first verified knowledge graph for community health access, fed by multi-step agent pipelines with human-in-the-loop validation and cost-gated inference.
Agentic AI · Healthcare · Knowledge Graph
~2,500 properties · ~500K rooms · 30M+ users/year · acquired
Founded and scaled a mobile ordering and guest-experience platform to about 2,500 hotels and casinos, including Best Western, Radisson and Caesars Entertainment. It still powers a hospitality business today.
Founder · Platform · Hospitality
Also shipped: Events Engine, real-time activation of location signals into Salesforce, Braze, and Airship.
Experiments: agentic market research, conversational care companion.
03 — How I Build
The system behind the shipping speed.
I run engineering as a two-altitude system: an orchestration layer that plans and coordinates parallel coding agents, and a feature layer where they build. Every pull request passes a four-persona review panel and an evidence gate before it merges. Decisions are written down (46 decision records, 60+ session logs, git-tracked shared memory), so the system gets better instead of starting over.
When an LLM classifier was proposed to replace a working ML model, the evaluation gate rejected it: lower quality, unstable, and costly to integrate. The classic model stayed in production. Model choice follows evidence, not novelty.
14,000+
GitHub contributions in the last year
12,000+
commits
2,000+
merged PRs since mid-2025
46
decision records
GitHub counts as of November 2026, across private work repos.
04 — Writing
Essays and articles as a Forbes Technology Council member, on product leadership and AI in operations.
Feb 11, 2025
Forbes Technology Council
Strategic technology approaches for restaurant operators navigating digital transformation and customer expectations.
Dec 11, 2024
Forbes Technology Council
Contributing expert predictions on emerging technology trends and highlights from CES 2025.
Nov 7, 2024
Forbes Technology Council
How retail brands can use technology to deliver seamless experiences during peak shopping periods.
Oct 28, 2024
How AI systems can become more trustworthy by incorporating metacognitive reasoning and acknowledging uncertainty.
Oct 23, 2024
How agentic AI systems transform business intelligence by enabling data to answer complex questions autonomously.
Oct 21, 2024
Practical ML applications that help operational leaders move from reactive problem-solving to proactive decision-making.
Oct 6, 2024
How order accuracy drives customer trust and retention in QSR and grocery e-commerce, and why precision fulfillment is a competitive advantage.
Aug 7, 2024
Forbes Technology Council
Bridging digital and physical experiences through strategic technology implementation.
2023
Retail Today Magazine
Emerging grocery industry innovations including location-enhanced self-service, loyalty programs, and the shift to pickup-centric operations.
05 — Speaking & Media
Panels and podcasts about AI, product, and operations.
Discussed how AI and data improve delivery operations, featuring ETAi.
Panel discussion on how AI is becoming the backbone of efficient, guest-centric off-premise operations, reducing wait times and streamlining restaurant tech.
Explored how advanced location technology changes mobility and logistics for on-demand operations.
Educational series on AI in grocery retail, covering customer experience, supply chain optimization, and emerging trends.
06 — Contact
If you need a product leader who builds the system and measures what it earns, I'm the right call. Full-time product leadership first, select advisory second.