I build software worth using.
I build software worth using and systems that outlast the people who build them. Fifteen years operating at the intersection of data science, AI engineering, and commercial strategy, from Fortune 500 transformation to production agentic AI in higher education. Founder of Revuity Systems, a systems company built on one deliberate thesis: stability over reach.
Verified client results across a fifteen-year career.
From Fortune 500 transformation to production agentic AI in higher education, every engagement converges on measurable commercial results.
Three domains, one through-line.
Every engagement converges on the same outcome. AI systems and data infrastructure that generate measurable commercial results.
Where the work was done.
Confidential Client
2024 – PresentPrincipal Solutions Architect
Designed and built a production agentic AI platform from the ground up, governing complex regulatory decisions in higher education. One of the first production deployments of agentic AI architecture in this regulated sector.
- $2.7M revenue generated via automated compliance governance and audit-ready reporting
- Built a multi-agent orchestration layer handling complex regulatory decision trees with full audit trails
- Designed a System Inventory and User Management Registry for the VP of Compliance & QA
- Evaluated and negotiated enterprise AI vendor contracts; client held MSA leverage throughout
- Developed BurgessEval, a proprietary evaluation framework for measuring LLM compliance accuracy
Revuity Systems
2022 – PresentFounder & Chief Technology Officer
Founded and operate a systems company serving clients across retail, education, healthcare, and professional services. Three service lines: Forward Deployed Engineering, Collab, and Fractional CIO.
- Deployed production AI systems for multiple clients including Dr. York's SRLP equity leadership platform
- Built a full Founder Operating System and Company Operations Manual (McKinsey-style, SCR framing)
- Developed and maintains a growing catalog of vertical SaaS products including VoltIQ, WealthOS, MenuIQ
- Formalized build stack: Claude Code as primary development infrastructure with Supabase + Netlify
P3 Cost Analysts
2019 – 2022Strategic Advisor
Managed a 75-client advisory portfolio spanning cost reduction, vendor negotiation, and operational data analysis across multiple industries. Built proprietary analytical frameworks used across client engagements.
- Managed and grew a 75-client consulting portfolio simultaneously
- Delivered measurable cost reduction outcomes across healthcare, hospitality, and retail verticals
- Built repeatable analytical playbooks for procurement optimization and vendor benchmarking
Adobe
Enterprise EngagementData Science & Revenue Analytics
- 86% reduction in reporting turnaround time via automated analytics pipeline redesign
- Built revenue attribution models for SaaS subscription products
- Delivered executive-facing dashboards and decision-support tooling
Walmart
Enterprise EngagementData Science & Pricing Strategy
- 37% improvement in project completion rate via process redesign and analytical tooling
- Built ML-assisted pricing and markdown optimization models for retail inventory management
- Contributed to $50M+ portfolio of documented commercial impact
The architect who scopes the work is the architect who ships it.
What's in production.
A selection of products and platforms in active development or deployed at client sites.
Financial Aid Compliance System
AI Governance · Higher Education
A production agentic compliance decision engine governing Title IV regulatory workflows in higher education. Combines multi-agent orchestration, LLM-powered document analysis, and full audit trail generation into a single governed platform. $2.7M in revenue generated. Built using the CoALA architecture pattern with custom evaluation frameworks (BurgessEval) for compliance accuracy measurement.
VoltIQ
Vertical Data Intelligence
AI-powered business intelligence platform for vertical market operators. Designed for teams that need fast answers from their operational data without a full data engineering stack.
WealthOS
Financial Intelligence · Private
A personal and family wealth operating system. Portfolio tracking, wealth-building scenarios, and decision support for high-income earners building long-term asset structures.
SRLP Platform. Dr. York
Equity Leadership Development
AI-augmented leadership archetype inventory and development platform for equity-centered practitioners. Full-stack build with assessment engine and personalized reporting.
MenuIQ
Restaurant & Hospitality Intelligence
Menu performance analytics and pricing intelligence for restaurant operators. Item-level margin analysis, competitive benchmarking, and AI-assisted menu optimization.
Revuity Systems
LA-BASED · SYSTEMS COMPANY · EST. 2022
Revuity Systems is built on a deliberate thesis: stability over reach. Not a growth-at-all-costs agency. Not a dev shop. A precision operator, one founder, Claude Code as build infrastructure, referral-only systems practice, and a growing catalog of self-serve vertical software tools.
Every product and client engagement runs through the same principle: build systems that outlast the people who build them. That means documented architecture, governed AI behavior, and business logic that doesn't live in someone's head.
Education & certifications.
Graduate Education
MBA. Organizational Management
Eastern University
Graduate Education
M.S.. Data Science
Eastern University
Graduate Education
M.Ed.. Education
Loyola Marymount University
Certification
Microsoft Fabric Analytics Engineer
Microsoft
Certification
Databricks Data & AI
Databricks
Certification
Certified Agentic Engineer
Revuity Systems
Build systems that outlast the people who build them.
Stability over reach. Fewer clients, longer engagements, deeper outcomes. Documented architecture over tribal knowledge. Governed AI behavior over vibe-based deployment.
The value of a system is not in its novelty, it's in its reliability. I've watched organizations fall in love with technology and forget to build the governance structures that keep it honest. That gap is where most AI projects fail.
My practice is built around a different frame: stability over reach. Fewer clients, longer engagements, deeper outcomes. Documented architecture over tribal knowledge. Governed AI behavior over vibe-based deployment.
The goal is always the same: when I'm done, the system runs. When I leave, it still runs. That's the brief.
Book a call Let's build something worth building.
I work with organizations ready to move from AI experimentation to production systems. Referrals preferred. Serious engagements only.