Production software I designed, built, and operate end-to-end. QA on
Autodesk Maya and 3ds Max taught me exactly how software breaks — this is what I build when I own the
whole stack, from schema to server. Every project below is live. Click through and use it.
evo.ehs
Beta · Live demo
Multi-tenant SaaS for environmental, health & safety compliance at multi-plant manufacturers.
Tracks permit deadlines and evidence, manages incidents and corrective actions, runs OSHA
incidence-rate reporting, and auto-discovers facility data straight from EPA and Texas TCEQ
databases — with per-site live weather and NWS alerts.
A multi-tenant Retrieval-Augmented Generation (RAG) platform I designed and built — it turns an
organization's own records into a grounded, guarded, cited assistant that answers only from those
records and declines everything else. Model-agnostic per tenant, private-capable, and deployed in
production as the "Ask AI" capability inside evo.ehs.
The multi-tenant foundation beneath these apps: shared authentication, per-tenant data isolation
at the row level, and an API designed from the ground up as the platform's core — not an add-on
bolted to an existing app. A common SDK means a new product ships in days instead of months.
Currently proving out against SWAG Estimates and DocketMail ahead of an open-source release.
API Design
Node.js
NestJS
JWT
PostgreSQL (row-level isolation)
Docker
// Internal platform — no public URL. Happy to walk through the architecture in an interview.
EvoCivilCode
Beta
Ask the Texas statutes a question and get an answer grounded in the statutes themselves — every
response cited to a specific section, with its hierarchy, the passage it came from, a deep link to the
official text, and the snapshot date. A second evo-ai RAG product: the
complete statutory corpus retrieved from the official Legislative Council source, parsed into clean
sections, and answered by a local model so nothing leaves the box. Guardrails are the
product — it tells you what the law says, never what to do.
// Beta — retrieval verified by a 30-question citation gate before the product shipped.
SWAG Estimates
In progress
Web-based estimating platform for major industrial capital projects — factories, wind farms, power
plants. It's built on an 18-sheet Excel methodology that evolved over 30 years of in-field
use, converted into an offline-first web app: 5,121 live formula cells recomputed in the
browser, drag-in .xlsx import, and local-to-cloud sync so estimators can work with no
connectivity.
Open-source CLI built for AI-assisted development — one-word commands (zstart,
zdeploy, zbackup) that wrap the routine start / deploy / backup chores
so a coding agent doesn't have to reason through them. It saves tokens, but the real win is
keeping the AI's context window focused on the actual work. The tooling I use to run everything
on this page.
Self-hosted IP geolocation API — no account, no API key, no per-query cost, and no
visitor IP ever leaves the machine it runs on. It returns the same JSON field names as
ip2location.io's free tier, so it drops into anything already written against that API by repointing
the URL. Data comes from DB-IP's free Lite databases, held locally and refreshed monthly by the
service itself.
Everything here runs on infrastructure I built and operate end-to-end: a single nginx edge routing
every site, containerized services, self-hosted email, Git, and full metrics and dashboards — on one
AWS box, no managed PaaS. When something breaks at 2 a.m., I'm the one who fixes it.
Systematic QA / SDET practice applied to a production LLM platform I designed and built — a documented
defect loop against text-to-SQL, retrieval, and guardrail failure modes. Every bug tracked with a
reproduction, root-cause analysis, a regression test, and verification against database ground truth.
Self-hosted visitor analytics for every site on this page — sessions, page views by path, status-code
distribution, and per-visitor IP geolocation answered locally by
evo.locate on the same box, so visitor data never goes to a
third-party service. A single HTML dashboard served directly by the nginx edge, parsing its own
access logs.