Keep sensitive AI workloads off public model APIs.
I design local and hybrid AI systems around your data, integrations, and security requirements, so sensitive processing stays within approved boundaries without forcing every component offline.
What I solve
AI for Regulated Workflows
For regulated or otherwise sensitive workflows, I design systems around data minimization, access control, auditability, and approved deployment boundaries. Local inference can reduce third-party exposure, but it does not by itself establish compliance.
Document Automation
AI systems that parse, score, and organize documents while keeping sensitive processing inside an approved environment. External retrieval or delivery services are used only when the workflow requires them.
Cloud API Cost Reduction
For suitable workloads, local models can move recurring inference away from per-token APIs and toward owned capacity. I compare hardware, maintenance, energy, support, and external-service costs before recommending the change.
Readiness Assessment
Not sure if AI fits your workflow? I will audit your infrastructure, data, and processes -- then give you a concrete plan with honest cost estimates.
Track record
Upwork
As of July 2026, my Upwork profile shows 100% Job Success and a 5.0 average across three public reviews.
View Upwork profile →Strategy and implementation stay with the same builder.
I take projects from architecture through working deployment.
Let's Talk