Operations,quietly engineeredfor people who can’t afford noise.

Standardized onboarding, status inputs, handoffs, decision logging and escalation workflows, so distributed teams stopped rediscovering context and every problem had a named owner, a next action and a due date.

Built recurring reviews around blockers, missing updates and ownership gaps, so risk surfaced before it became client-visible. Together these contributed to approximately 25% lower regional operating overhead.

Built a weekly account-health cadence that tracked visible activity and negative space, especially quiet accounts, so churn risk and unresolved needs surfaced earlier. Growth ran about 20% a year, with Lowest Account Turnover recognition three years in a row.

Trained and onboarded 15+ representatives, cutting ramp time by roughly 30%, and held accountability for $250K+ of retail inventory, where audits reduced shrinkage by about 10%.

Designed AI-assisted identification and categorization workflows that hold about 99.5% accuracy while cutting manual processing by roughly 75%, with human review on every exception.

When a marketplace fee change landed, repriced and relisted 1,000+ products in about 30 days, in batches of 50 with manual price review.

Directed the architecture: SwiftUI and SwiftData with CloudKit, layered services, Decimal-based financial precision, and mandatory PII scrubbing before any cloud-AI path.

Release 1.0 was rejected under App Store Guideline 2.1; the fixes and resubmission are in progress. The durable work is the boundary contracts that make the system reviewable and safe: invariants, typed logging, tests and release gates.