Services
Specific engagements. Specific outcomes.
Specific sells better than “software consulting.” Here are the four ways I most often help teams ship AI.
01
AI Architecture Review
For teams exploring AI but unsure where to start.
A focused review of your goals, data, and constraints, ending in a concrete architecture and a build plan you can act on: model choice, retrieval strategy, evaluation approach, cost envelope, and the risks worth de-risking first.
Typical deliverables
- →Reference architecture diagram
- →Build vs. buy recommendation
- →Cost & latency model
- →Prioritized risk list
02
RAG / Internal Knowledge Assistant
For companies that want an assistant grounded in their own content.
An end-to-end retrieval-augmented assistant: ingestion and chunking, embeddings, a vector store, grounded generation with citations, and evaluations so you can trust the answers. Built to be observable and maintainable, not a one-off demo.
Typical deliverables
- →Ingestion + embeddings pipeline
- →Grounded answers with citations
- →Evaluation harness
- →Observability dashboards
03
AI Evaluation & Guardrails
For teams that can't tell whether their AI got better or worse.
A model fails quietly: a confident, well written, wrong answer, and nothing objects. I build the evaluation that makes it loud (a golden set of known good answers, scored on a schedule, every call traced) and the containment around the model: structured output, the right to abstain, deterministic checks, and a path to a human. The same approach I built for the AI assistant on a federal public health website.
Typical deliverables
- →Golden set + scheduled evaluation
- →Tracing & quality dashboards
- →Output validation & abstain paths
- →PII and prompt injection checks
04
Fractional AI Tech Lead
For startups or teams that need senior AI/backend guidance.
Ongoing, hands-on technical leadership without a full-time hire: architecture decisions, code review, mentoring, and unblocking the hard parts of shipping AI features. I work alongside your team and leave them more capable than I found them.
Typical deliverables
- →Architecture & roadmap input
- →Hands-on implementation
- →Code review & mentoring
- →Vendor / model strategy