I build the systems that move a business's data around and act on it, pipelines, dashboards, integrations, AI tooling, and the automation that removes manual work. Twenty years across enterprise and small business: a wildfire map that peaked at 4.1M monthly active users (Aug 2026), Fortune 500 marketing intelligence, and storefronts that take payments. Available for project work.
Ideas into systems.
Lakehouse and warehouse pipelines, schema design, and migrations run so they are reversible and tracked, not applied by hand and hoped over.
Scheduled pipelines, ingestion from messy third-party sources, and the monitoring that tells you when a feed goes quiet before a stakeholder does.
Dashboards and geospatial interfaces people actually use, including a live wildfire map that peaked at 4.1M monthly active users (Aug 2026).
Connecting systems that were never designed to talk: payments, CRM, ERP, analytics, and government or vendor data feeds.
Agent infrastructure, retrieval and embedding systems, and LLM workflows built to be evaluated rather than demoed.
Storefronts and content platforms on Shopify, WordPress, and custom stacks, catalog, payments, plugin and theme development, and the analytics behind the funnel.
Installable progressive web apps with offline support, mapping and geospatial interfaces, and the performance work that keeps them fast on a phone in the field.
Finding the expensive thing and removing it, a $100K/yr content system replaced with RSS pipelines, an integration platform built in-house instead of an estimated ~$80K/yr vendor, 20-minute deploys cut to 30 seconds.
Backtesting, walk-forward validation, and multiple-testing correction for trading and forecasting work, the same discipline applied to any question where being confidently wrong is expensive.
Engagements have ranged from Fortune 500 marketing intelligence to single-owner storefronts. Small, well-scoped projects are welcome.
A containerized data hub built and operated by mzlabs: ingestion, transformation, visualization, and export, run as a managed platform rather than a one-off integration. Docker-based, CJIS-postured, multi-tenant, deployed per client.
Scheduled and event-driven pipelines pulling from APIs, databases, flat files, and vendor feeds that were never designed to be consumed programmatically.
Orchestrated transformation into a modelled warehouse, with lineage and run history rather than scripts on a server somebody has to remember to check.
Dashboards over the modelled data, with per-tenant access control so each client sees their own and nobody else's.
Data back out in the shape the receiving system needs, so the hub feeds downstream tools instead of becoming another silo.
In production today serving the Western Fire Chiefs Association. Visit Centralize.biz · Ask about a deployment.
Sole engineer responsible for WFCA's entire digital ecosystem.
Research bench for systematic strategies across equities, commodity ETFs, and crypto. ~138K lines of Python, 1,732 tests, CI-enforced validation rules. Deflated Sharpe Ratio for multiple-testing bias; 3-fold walk-forward as the promotion gate; alpha over buy-and-hold, not raw profit. Research and paper trading only: no live capital.
Automated search over a 72-architecture parameter space, then a forensic audit that invalidated its own headline result: the top strategy's +505%/yr came from indexing up to 6 candles into the future, with the peek removed it returned −77%. Rebuilt honestly to +55.7% over 4 years, then reported out-of-sample underperformance against buy-and-hold and declined to promote it.
Persistent cross-session memory for AI coding agents. Semantic + full-text hybrid search via PostgreSQL, pgvector, and local embeddings. REST API + MCP server.
Local-first AI coding agent with 10-phase autonomous delivery pipeline. Multi-backend LLM support (local GGUF, OpenAI, Anthropic, vLLM, MLX). 1024+ tests.
Built and run a live Shopify storefront selling custom apparel and home decor, theme development, product and inventory operations, payments, and the analytics behind it. A shipped commerce build rather than a demo: artofmetazen.com.
Cross-platform quality hooks for AI agents and git. Security scanning (OWASP), simplicity checks, naming conventions. Supports Claude Code, Codex, Gemini.
Bring a problem. I'll tell you what I'd do about it, whether it needs me, and roughly what it would take. No pitch: if it's something you can solve yourself, I'll say so.
Data pipelines, dashboards, integrations, AI tooling, automation, and platform work. Book a session to work a problem directly, or ask for a fixed quote once the scope is clear.
Available times are shown when you book. Sessions are paid at booking; larger projects are quoted separately.
Tell me what you’re building, what’s getting in the way, or what you’d like to automate. A few sentences is enough to start. The form reaches my inbox directly.
Book a free 15-minute consult