Flagship product · Live
Runvello
An AI-powered client operations platform connecting CRM, websites, offers, bookings, payments, projects, contracts, campaigns, calendars, portfolios, and integrations.
Product engineer · AI systems builder
I build software that turns ambitious ideas into working systems.
Over the last two years, I’ve been working deeply with AI-assisted development—using Codex and Claude Code to build products, coordinate complex work, and create the guardrails that keep speed from outrunning quality.
Product architecture
◆AI-assisted engineering
◆Full-stack delivery
◆Production reliability
Private work, visible momentum
The public graph tells only part of the story.
Most of my recent engineering lives in private repositories. This snapshot shows the aggregate pace without exposing the work itself.
View GitHub profileVerified local project history · available 2024–2026 window
1,455authored commits
79active development days
6repositories represented
2AI engineering environments
These are aggregate counts from local Git histories. Private repository names, commit messages, source code, and customer details are intentionally excluded.
Repository-backed work
Products with real depth.
Selected work from a broader portfolio spanning live products, pre-launch SaaS, privacy-minded AI, and reusable open-source infrastructure.
View case study
Independent product · Launching
CRP Resume
A model-agnostic prompt-delivery product that helps people recover, verify, and communicate career evidence using the AI service they already trust.
Private product · Pre-launch
CyberOps Sentinel
A multi-tenant cybersecurity operations and compliance platform spanning risks, incidents, vendors, policies, reporting, scanning, and framework management.
Open-source gem · Published
PostgresMultitenant
A published Ruby gem for schema-based tenant isolation in Rails applications backed by PostgreSQL.
What I bring
One view of the whole system.
I’m most useful where product decisions and engineering decisions meet—especially when the work crosses several domains at once.
01
Product engineering
Turning broad product ideas into coherent, maintainable systems—from data models and service boundaries to the final customer workflow.
- Ruby on Rails
- Hotwire
- JavaScript
- PostgreSQL
02
Applied AI systems
Designing AI features around explicit contracts, provider controls, evaluations, cost visibility, and useful human checkpoints.
- Codex
- Claude Code
- LLM workflows
- Agent systems
03
Reliable delivery
Using automated tests, browser verification, CI gates, observability, and careful release practices to keep fast work trustworthy.
- Minitest
- Playwright
- GitHub Actions
- Railway
04
Systems thinking
Connecting product, UX, operations, billing, security, and infrastructure so features work as one business system—not isolated demos.
- Multi-tenancy
- Stripe
- Object storage
- Product strategy
A practical point of view
“AI is leverage. Verification is the discipline.”
I use agents to increase the altitude and pace of engineering work. The standard for shipping does not change: explicit contracts, reviewable decisions, isolated changes, automated tests, browser-level evidence, and honest release gates.
More about my approach