I architect AI systems that
earn trust in regulated environments.
End-to-end AI solution architecture, delivery leadership, and governance for federal agencies. 12+ years designing systems where the people accountable for outcomes can see, override, and explain every recommendation.
What I deliver
NLP pipeline for research proposal triage
Designed a SciBERT embedding and clustering workflow (HDBSCAN, k-means, Bayesian optimization) that classified 7,000+ research proposals into 70+ themes. Ambiguous proposals flagged for human review, not forced into poor-fit clusters.
Governance, auditability, responsible AI
Partnered with governance and security stakeholders to define responsible AI guardrails: data quality checks, monitoring expectations, review workflows, and documentation standards for reproducible, auditable pipelines.
Data platform supporting 50,000+ operations
Built a global data warehouse and Tableau reporting suite for USDA's organic program, integrating Salesforce, CBP customs records, and investigative databases into a governed source of truth.
Selected work
All case studies
Product build (Gettysburg tourism ecosystem)
Gettysburg Pulse: Real-time event discovery with trust, provenance, and deterministic AI workflows
Built Gettysburg Pulse, a production-grade event discovery platform that aggregates 9+ sources into a feed-first experience with provenance metadata, trust tiers, and deterministic deduplication so visitors can rely on what they see.
National Science Foundation (sanitized)
Research proposal triage: SciBERT embeddings + clustering pipeline
Designed a SciBERT embedding and clustering pipeline (HDBSCAN, k-means, Bayesian optimization) that classified 7,000+ research proposals into 70+ themes for reviewer decision support. Ambiguous proposals flagged for human review rather than forced into poor-fit clusters.
National Science Foundation (sanitized)
Panel Wizard: ML-assisted proposal panel formation
Consolidated 8 screens into 1. Sentence embeddings and K-Means clustering suggest proposal groupings, with drag-and-drop overrides so program staff keep full control. Cut panel formation from weeks to hours.
USDA (organic program)
USDA Organic Analytics: Global data warehouse and Tableau reporting for 50,000+ operations
Built a global data warehouse on AWS that brought together Salesforce, an integrity database, and CBP customs records. Added an NLP classifier for organic import taxonomy and dozens of Tableau reports serving 50,000+ certified operations.
VisiTime, LLC
VisiTime: Turning geospatial data into an AR visitor experience
Founded an AR startup, built the tour system on Unity, raised $200K+, shipped a six-hour interactive iPad tour, and earned two U.S. utility patents. Learned things about focus and tradeoffs that consulting never taught me.
How I work
Align
Identify the decision, the stakeholders, and the constraints. Define success criteria before writing code.
Architect
Design the system end-to-end: data pipelines, model workflows, integration points, governance controls, and audit trails.
Prototype
Build working software quickly. Validate assumptions with real users and real data before committing to scale.
Operationalize
Harden pipelines, document everything, establish monitoring. Make it reproducible and maintainable.
Drive adoption
Train users, run stakeholder reviews, retire legacy processes. A tool nobody uses is a tool that failed.
“Professional and collaborative, uniquely suited for DAO work.”Data Analytics Officer, NSF Engineering Directorate
Worth a conversation?
If you need AI solution architecture, delivery leadership, or governance expertise for a regulated environment, I'd be glad to talk.