Case studies
Every engagement here shipped, ran, and got measured. Uptime, page loads, open rates, cost — numbers from live systems, not projections.
The record
A deliverable without a number attached is a promise with confidence theater.
When I say a system will hold four nines, it holds four nines. That is the whole product.
Track record
| Engagement | Domain | Measure | Result |
|---|---|---|---|
| Multi-region AWS migration (PCI) | Cloud | Uptime | 99.99% · US-East / US-West |
| Same migration | Cloud | Infrastructure cost | ~40% reduction |
| Same migration | Compliance | SOC II support | Real-time visibility + audit trails |
| Digital transformation (The Weiss Group) | Web | Page loads | 8+s → <2s (CloudFront CDN) |
| Same transformation | Engineering | Pipelines | Automated testing, code review, deploys |
| Email infrastructure rebuild | Deliverability | Open rate | crisis 28%→12% fixed → 31% · 4.2% CTR |
| Pharmaceutical B2B platform (RX Automation) | Compliance | Controlled-substance orders | Full audit trails (HIPAA-relevant) |
| NBA streaming app (Roku) | Media | Performance | Production performance monitoring |
| Retention analytics platform | Data | Visibility | Looker / Tableau / Grafana + automated alerts |
| Deployment architecture | Ops | Release safety | Blue-green deploys with DNS failover |
Every row is a real engagement. References and fuller write-ups available on request — [email protected].
Selected stories
Cloud · PCI
As Senior Software Engineer at PCI, I moved production to multi-region AWS across US-East and US-West — 99.99% uptime through the cutover, real-time visibility and audit trails built in for SOC II, and roughly 40% off the infrastructure bill.
Web · The Weiss Group
As Application Development Manager, I led a digital transformation that took page loads from 8+ seconds to under 2 with a CloudFront CDN — and left behind automated testing, code review, and deploy pipelines so it stayed fast.
Email · deliverability
A deliverability crisis had dropped open rates from 28% to 12%. Self-hosted Mautic with automated IP warming brought the list back: 31% open rates and 4.2% click-through — on infrastructure the business owns.
Live practice
Not client work — my own operation, run daily as an agent fleet. It is the standing test bed for everything on the services page.
Claude agent sessions across project folders — this site, AWS infrastructure, campaign tooling, quant research — each registered in a session registry, opened and closed by playbook-driven rituals.
A mem0 memory service every agent reads and writes — on the order of 150 durable facts per project namespace — so session 21 starts where session 20 stopped.
Per-project dispatch channels: agents leave work for each other in mailbox files, and a hub session routes anything that crosses project lines.
Every durable write goes through tooling that rewrites, fsyncs, and re-reads the file byte-for-byte before it counts. Agents that write files need the same guardrails as agents that move money.
Own-ops practice, labeled as such — shown here because it is the one agentic system I can demo end to end without an NDA.
Methodology
Monitoring and analytics go in with the first deploy. If it isn’t measured, it didn’t happen — and it can’t be defended later.
Uptime, page loads, open rates, cost. Quality is monitored through architecture, testing, and analytics — and forecasts get graded on calibration, not on how confident they sounded.
The figures above are the production numbers, crises included — the 12% open rate is on this page next to the 31%.
Tell me what you’re trying to do. First conversation is free.