I solve problems by building better systems.
For 15+ years, I've worked at the intersection of technology and operations—the messy middle where business needs meet technical reality. I've optimized insurance implementations, automated risk assessment workflows, built executive dashboards, and recently: orchestrated AI systems that deliver business value in days instead of months.
The Pattern
At Optiv, I automated risk assessments that reduced processing time from 3 months to 1 week—an 85% reduction in manual work. I built executive dashboards that turned 3-day reporting cycles into 30-minute queries. I standardized project data collection across disparate platforms because the existing chaos was slowing everyone down.
These weren't technology projects—they were business transformations enabled by technology.
At UST Global, I optimized legacy stored procedures for State Street financial systems. At Cigna Healthcare, I coordinated complex insurance implementations across sales, account management, and broker teams. The context changed, but the pattern remained: identify systemic inefficiency, design a better system, execute with precision.
The Pivot to AI
Now, I'm focused on AI orchestration—not because it's trendy, but because LLMs are the most powerful automation tool I've encountered since discovering programming.
I've built:
- • Healthcare claims validation systems that identify billing errors with clinical reasoning
- • Document processing platforms that transform 40+ file formats into AI training datasets
- • Developer tools that test AI-generated code safely with automatic rollback
- • Model fine-tuning interfaces with GPU acceleration and real-time feedback
I can take a complex operational problem and ship a working prototype in hours or days, not quarters. That's the promise of AI-augmented development when you combine it with deep operational knowledge.
How I Think
I think in systems.
Not just technical systems—organizational systems, workflow systems, information systems. I see how data flows (or doesn't), where handoffs create friction, and what changes would cascade positive effects.
I translate between worlds.
Technical teams speak in architecture and APIs. Business teams speak in outcomes and constraints. I speak both languages fluently, which makes me the person who bridges those gaps and prevents expensive miscommunication.
I bring calm to chaos.
When projects are behind schedule, data is scattered across systems, or requirements are unclear—I'm the person who maps the territory, identifies the critical path, and gets everyone moving in the same direction.
The Entrepreneur Chapter
In 2008, I started Fourth Field LLC and developed a clear measuring tape for the woodworking industry. I took it from concept to manufacturing to distribution—securing orders from Rockler and Lee Valley Tools. Woodworking Magazine named it "Best New Tool."
The company ultimately didn't scale, but the experience taught me invaluable lessons:
How to translate a vision into a physical product
The complexity of manufacturing and quality control
The gap between "it works" and "it works at scale"
How to handle rejection, iterate quickly, and stay resourceful
Those lessons inform everything I build today—especially the emphasis on shipping real products, not just prototypes.
Technical Foundation
My technical skill development has been strategic and practical:
Early Career
Database optimization, stored procedures, legacy system modernization (Sybase, SQL Server, financial applications)
Self-Directed Learning (2017-2019)
Full-stack JavaScript ecosystem—React, Node.js, Express, MongoDB, Webpack—through Udacity certifications and real project work
Enterprise Systems
SharePoint, Power Platform, ServiceNow, Jira, PowerBI, data integration, workflow automation
Current Focus
AI/ML orchestration, LLM prompt engineering, RAG systems, model fine-tuning, FastAPI, Next.js, cloud architecture (Railway, Cloudflare)
I don't chase every new framework. I learn what solves problems I'm actually facing. That's why my technical foundation is both broad (I can work across the stack) and deep (I understand systems architecture and business context).
What I'm Looking For
I'm seeking roles where I can combine technical depth with business execution:
AI Product Management
Building products that use LLMs to solve real operational problems
AI Business Analysis
Identifying where AI creates genuine value vs. where it's just hype
Process Optimization
Streamlining workflows and eliminating systemic friction
IT Program Management
Coordinating complex initiatives across technical and business stakeholders
The ideal role lets me:
- Understand real business problems deeply
- Design elegant technical solutions
- Ship products that measurably improve operations
- Work with smart people who value both speed and quality
Beyond Work
I live in Kansas City, Missouri with my family. When I'm not building systems or writing code, I'm:
- • Thinking about how organizations actually work (vs. how they're supposed to work)
- • Learning about emerging technologies (currently: AI reasoning systems, agent frameworks)
- • Staying curious about domains I don't know well (healthcare, finance, manufacturing)
Let's Connect
Currently seeking full-time opportunities in AI Product Management, Business Analysis, Process Optimization, or IT Program Management roles.