About
Senior expertise, small-studio delivery
I'm a data scientist and designer who has spent a career at the intersection of language, data, and human-computer interaction. I now help small organizations turn messy, underused information into tools that support real-world decisions.
After retiring from federal service, I live fulltime in Hampshire County, WV — a rural community with real needs and a lot of unrealized potential. I volunteer and teach locally, and I started AiCraft because I believe AI can be harnessed to help communities like mine actually thrive.
Background
Before starting AiCraft, I led interdisciplinary teams in AI, cloud computing, and data analytics inside the U.S. intelligence community. I both led applied research programs and the development of enterprise-scale knowledge retrieval and language AI systems. That work taught me how to design "intelligence-grade" solutions that are both technically solid and usable by people working under pressure and real constraints.
Earlier in my career, I worked as a principal AI engineer on federally-funded projects and industry–academic collaborations, building dialogue systems, interfaces, and visualizations for complex datasets. Alongside that applied work, I've taught graduate courses in natural language processing (NLP) and human–computer interaction (HCI) — helping students build user interfaces with AI under the hood.
At AiCraft, you get that same level of experience, but in a small-studio format: one client at a time, clear scopes, and straightforward communication. I work directly with you and your team—from the first whiteboard sketch to the live dashboard, AI agent, or searchable archive. You own what we build together. I teach you how to use it and make it better over time.
Today my focus is on small businesses, local governments, and nonprofits with more data than staff time. If your world is spreadsheets, email, historical records, and basic web tools, I help you take a measured step into AI, automation, and data apps—starting with one concrete problem we can solve together in weeks or months.
Every AI feature includes error analysis and evaluation so we can see how it behaves in the real world and make it better over time, not worse.
Selected work
Cacapon Music & Dance Foundation
A small nonprofit connecting donors, scholarship students, and local square dance events. They needed a modern site that could be hosted for free, was easy for volunteers to maintain, and made it simple to share events, newsletters, and forms with their community.
What I did
- Researched similar music and dance nonprofits to identify best-practice content, structure, and calls to action.
- Developed a clear information architecture and key user task flows ("apply for a scholarship," "donate," "find an event") and reviewed them with the client before implementation.
- Implemented a lightweight, future-proof site using plain HTML hosted via GitHub and Netlify, minimizing maintenance overhead and lock-in.
- Created a concise style guide and decision log so future maintainers—human or AI—can quickly understand how the site and data are organized.
- Applied the existing logo and brand, selecting complementary typography, color, and motion cues to emphasize music, movement, and community.
- Designed a custom events calendar that highlights upcoming dances and deadlines in a way that's easy for families to scan and for volunteers to update.
- Structured pages and content with basic SEO and clear question–answer patterns so both search engines and AI tools can better understand "who we are" and "how to participate."
Outcomes
- A fast, low-cost site the organization can update themselves, with clear paths for donors, students, and dancers.
- Centralized events, forms, and newsletters—reducing email back-and-forth and manual updates.
- Better surface area for search and AI-driven question answering, making it easier for people to discover how to get involved.
- After launch: an internal lightweight CRM to track grants, volunteers, and tech requests.
- Reduced future onboarding time by capturing key design and technical decisions in clear, lightweight documentation.
Since launch
CMDF has acquired additional sponsorship and is now working to expand its programs across two more counties—growth made possible in part by a clearer digital presence and better-organized donor and event data.
In progress
I'm currently building out internal demo projects—searchable archives, AI coaching agent, and an AI FAQ pilot—that illustrate the kind of work I do for clients. These will appear here over time.
Work with AiCraft
I take on a small, focused engagements, scheduled focus deeply on your need. If you have a data, automation, or web problem you'd like to talk through, the best first step is a short conversation.
Get in touch