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How I approach representative problems — the methodology and the shape of the work. These are illustrative of the engagements I take on, not accounts of specific named clients.
Client work is confidential. The patterns below describe approach and focus areas rather than specific outcomes or metrics. For references relevant to your situation, get in touch.
Clinical teams buried in manual intake and triage workflows, with legacy systems that do not scale as patient volume grows.
Design an AI-assisted patient-processing pipeline — document classification, OCR digitization, and a human-in-the-loop triage model that routes by urgency while keeping clinicians in control.
Start with an AI-readiness audit, pilot on a small footprint, keep a human in the loop, and instrument outcomes before scaling.
A reactive security posture: no centralized threat visibility, stale incident-response playbooks, and mounting regulatory scrutiny.
Move from perimeter-only defense to layered, monitored security — SIEM and detection, modern incident-response runbooks, and a path through PCI DSS and SOC 2 readiness.
Assess first, then prioritize the highest-leverage controls, stand up monitoring and response, and rehearse with the leadership team.
A funded startup with a strong product vision but no technical leadership — slow delivery, mounting technical debt, and investor confidence slipping.
Step in as fractional CTO: restructure engineering, establish CI/CD and code-review practices, retire the highest-cost technical debt, and define a milestone-driven roadmap.
Audit the codebase, align the technical roadmap to business milestones, and build the engineering discipline that scales.