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booking new engagements — from August 2026mainUS Mountain (UTC−7) · overlaps US + EU morningsresp < 1 business day
work --log

The build log

Every engagement, written up the way I’d write it for your team: the problem, the architecture, and the numbers that moved.

01

Cut checkout p99 latency 85% before a 9× launch

Fintech / payments·Reliability & performance lead (contract)·2025

A payments checkout service buckled under marketing spikes. I traced the hot paths, fixed the data layer and queueing, and added SLO-driven autoscaling — so launch day was a non-event.

−85%
p99 latency (1900ms → 280ms)
9×
launch-day traffic, 0 incidents
02

Empty repo to first paying customer in 11 weeks

Marketplace / logistics·Founding backend engineer (contract)·2024

A two-person team had a design and no backend. I built a lean, maintainable marketplace backend — listings, matching, payments, and notifications — that they could run themselves.

11 wk
empty repo → first paying customer
2
engineers can run the whole stack
03

Replaced a fragile nightly batch with a 28-second sync

Commerce / ERP·Integration engineer (contract)·2025

Inventory and orders were synced to a legacy ERP by a nightly batch that broke weekly and left data a day stale. I replaced it with an event-driven pipeline.

24h→28s
data freshness
−96%
oversell incidents
04

Embedded for two quarters — deploys 4×, pages down 52%

B2B SaaS·Embedded staff engineer (retainer)·2024

A strong team was drowning in on-call and slow deploys mid-hire. I embedded as a staff IC to raise the bar on observability, testing, and delivery — and mentored the team to keep it.

4×
deploy frequency
−52%
on-call pages
05

An architecture review that avoided a ~$400k rebuild

Analytics / data·Fractional CTO / advisor (retainer)·2025

A non-technical founder was about to commit to an architecture that wouldn’t survive their own roadmap. A focused advisory engagement caught it early and set a defensible path.

~$400k
rebuild avoided
18 mo
roadmap the design now supports
06

A streaming pipeline that ingests 2B events/day

IoT / data pipelines·Platform engineer (contract)·2023

Device telemetry was overwhelming a batch warehouse. I built a streaming ingestion and aggregation pipeline that kept dashboards live at fleet scale.

2B/day
events ingested
<1s
fleet dashboard queries

Case studies, metrics, prior companies, and testimonials in this template are illustrative and anonymized for demonstration; they do not name or represent any real client or employer and are not a guarantee of future results. Outcomes vary by system, team, and constraints.

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