AI Platform & Application Development
Production-ready AI systems that integrate with your existing infrastructure — evaluated before launch, observable after it.
The approach
A demo that works once, on a curated example, is not a system.
The distance between a compelling prototype and something your business can depend on is where most AI initiatives quietly stall.
I turn AI vision into production-ready solutions with custom application development and scalable platform engineering, building intelligent systems that integrate with your existing infrastructure rather than around it.
That means evaluation harnesses before launch, observability after it, cost modeling that survives contact with real traffic, and architecture your own engineers can maintain once I am gone.
Proof
Governance Out of Spreadsheets
A spec-driven admin application that let business analysts own a healthcare provider data model directly — versioned, auditable, and with no engineer in the loop
- ~4 weeks
- Build time, solo
- ~2,100 lines
- First-party source
- ~10 lines
- Cost of adding a governed table
- 0
- Engineers needed for a mapping change
AI in the Workflow, Not on the Podium
A production course-assistant platform that drafts rubric-aligned grading and in-context feedback — and never sends anything to a student without the instructor approving it first
- 0
- AI outputs reaching students unreviewed
- ~50
- Submission file types handled natively
- ~50
- Production API routes
- The LMS
- System of record
Other services
AI Strategy & Roadmapping
A sequenced roadmap with named owners and honest estimates — not a slide deck that sits in a drawer.
View approachData Foundations & Governance
Lineage, quality, and governance built to carry AI workloads — the layer most AI programs discover too late.
View approachAI Governance & Compliance
Governance mapped to NIST AI RMF, ISO 42001, and the EU AI Act — written by someone who has built the systems being governed.
View approachAI-Augmented Engineering
AI pointed at your delivery process — feature decomposition, commit-level quality gates, and documentation that stays current.
View approachCourse & Curriculum Development
Technical curricula built as engineering systems, so a course can be corrected in an afternoon instead of rebuilt every few semesters.
View approach