Mauricio Zuniga

Data Platforms · Systematic Trading Research · AI Tooling

Twenty years building systems that carry real load — a wildfire map serving 1M+ people a month, lakehouse pipelines, trading research held to walk-forward validation, and a storefront that takes payments. Available for project work.

Portland, OR  ·  mz@mzlabs.llc  ·  LinkedIn  ·  Start a conversation
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Monthly Users
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Annual Revenue Restored
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Data Pipelines
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Years Engineering
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Engineer (Solo)
What I Build
01

Data Platforms & Migrations

Lakehouse and warehouse pipelines, schema design, and migrations run so they are reversible and tracked — not applied by hand and hoped over.

02

Automation & ETL

Scheduled pipelines, ingestion from messy third-party sources, and the monitoring that tells you when a feed goes quiet before a stakeholder does.

03

Visualization & Reporting

Dashboards and geospatial interfaces people actually use — including a live wildfire map serving over a million users a month.

04

Integrations & APIs

Connecting systems that were never designed to talk: payments, CRM, ERP, analytics, and government or vendor data feeds.

05

AI Tooling

Agent infrastructure, retrieval and embedding systems, and LLM workflows built to be evaluated rather than demoed.

06

E-commerce

Storefront builds and operations on Shopify and custom stacks — catalog, payments, fulfillment, and the analytics behind the funnel.

Fire Map User Growth
Monthly Active Users — WFCA Fire Map
Daily Dispatch Recovery — Total Users
Career Timeline
August 2023 — Present
Director, Digital Solutions
Western Fire Chiefs Association · Wilsonville, OR

Sole engineer responsible for WFCA's entire digital ecosystem.

WFCA Fire Map
Transformed a basic wildfire tracking tool into a high-demand wildfire intelligence platform serving 1M+ monthly active users — now ad-monetized and expanding coverage into Canada.
  • Grew from ~28K to 1M+ monthly active users in 6 months (Jan–Jul 2026) — peak month 1.45M
  • Reverse-engineered entire legacy app (Next.js, Mapbox GL JS, Redux, GeoServer, AWS RDS) with no documentation
  • Built satellite fire detection from 5 NASA FIRMS sensors via GeoServer MVT vector tiles — 10x performance
  • Engineered event-driven NOAA satellite integrations for real-time lightning and GOES fire detections
  • Unified 3 camera networks, wind flow animation (HRRR/GFS), weather layers — 32 map layer toggles
  • Built auto-heal monitoring: Lambda checks 21 pipelines every 15 min, auto-restarts, SMS/email alerts
  • Extended coverage into Canada and launched consent-mode ad monetization (GTM/AdSense) — 259K+ monthly ad impressions
  • 4-gate CI/CD pipeline; reduced deploy time from 20 min → 30 sec
Daily Dispatch
Architected an AI-first CMS on Django, then rebuilt the entire platform from scratch after a security breach took the vendor's site permanently offline.
  • Built WordPress Multisite faster than breached vendor could recover — restoring $700K+/yr jobs revenue from zero
  • 500+ automated RSS pipelines replacing $100K/yr third-party system — zero downtime since launch
  • Custom jobs board (57 E2E tests) with Square invoicing — $700K+ annual revenue
  • MailPoet newsletter: 40K subscribers, 20+ regional lists, 35 daily editions
  • 15+ custom WordPress plugins; daily DR to separate data center via GitHub Actions
June 2022 — August 2023
Enterprise Applications Manager
Good Feet NW | SE | Dakotas · Portland, OR
  • Built custom serverless Integration Platform (Python, Aurora MySQL, Talend, AWS Lambda/Glue/S3) — saved $80K+/yr
  • Won RFP against world-class consulting firm — architecture selected as model for next-gen corporate systems
  • Engineered foot traffic quantification and POS integrations across 30+ stores
  • Warehoused Salesforce, NetSuite, and POS data into one model, then built the financial and marketing dashboards on top of it
  • Established marketing tracking strategy: GA, GTM, custom UTM protocols
November 2014 — June 2022 · 7 yrs 8 mos
CMD (Creative Media Development)
Portland, OR
Digital Solutions Director (2019-2022) Data Services Manager (2015-2019) Technical Director (2014-2015)
  • Built the data warehousing and ETL backbone behind marketing intelligence for Fortune 500 clients (Intel, HP, Microsoft) — acquisition, transformation, visualization, automation
  • Delivered financial and marketing dashboards turning multi-source campaign and spend data into reporting executives actually ran decisions on
  • Analytics portal on Laravel/Postgres with GA, Facebook, Twitter, and YouTube API integrations; one-button Jenkins CI/CD to multiple nodes
  • Automated 20+ Linux servers; SQL Server SSIS ETL pipelines; click-level auto-tracking JS deployed via GTM and Tealium
  • Standardized every client onto a single portal version and data schema in one migration program
  • Implemented Agile/Kanban with Jira; served as SCRUM master
July 2013 — November 2014
Technical Lead / Lead Developer
TrustCloud.com · Portland, OR
  • Proprietary APIs (Lexis Nexis, Backgroundchecks.com, PayPal) — first client: eBay Hire
  • Parallel distributed computing on AWS (Gearman) — weeks-long workload → 2.5 days
  • Managed dev team in India; 10 Ubuntu LAMP stacks on AWS
2000 — 2012
Earlier Roles
StellarActive · Clear Sky Innovations · Heritage Web Solutions · IT-Workforce · Nitroprint · Chaos Existence LLC
  • Full-stack dev, PM, and technical leadership across LAMP, .NET, and hybrid architectures
  • Key: InsureAudit (workers comp auditing, DB replication across 15+ nodes), POS systems, e-commerce
Side Projects

Systematic Trading Research Platform

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.

Python vectorbt pandas/NumPy PostgreSQL Alpaca API

Crypto Strategy Search & Bias Audit

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.

Python Freqtrade TA-Lib hyperopt Docker

Agent Memory

Persistent cross-session memory for AI coding agents. Semantic + full-text hybrid search via PostgreSQL, pgvector, and local embeddings. REST API + MCP server.

Python FastAPI PostgreSQL pgvector MCP

Anvil

Local-first AI coding agent with 10-phase autonomous delivery pipeline. Multi-backend LLM support (local GGUF, OpenAI, Anthropic, vLLM, MLX). 1024+ tests.

Python FastAPI LangGraph LLM

Art of Metazen

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.

Shopify Liquid E-commerce GA4 Payments

Code Review Hooks

Cross-platform quality hooks for AI agents and git. Security scanning (OWASP), simplicity checks, naming conventions. Supports Claude Code, Codex, Gemini.

Python Node.js Git Hooks
Technical Skills

Languages

Python SQL JavaScript TypeScript PHP HTML/CSS C#

Frameworks

Next.js React Django Laravel Tailwind WordPress jQuery HTMX

Cloud / Infra

AWS Azure Google Cloud Cloudflare Docker GeoServer Mapbox GL JS GitHub Actions Nginx Apache Keycloak OAuth/SSO

AI / ML

Claude Code Codex Anvil (built) LM Studio Hugging Face pgvector sentence-transformers

Databases

PostgreSQL PostGIS PostgREST MySQL SQL Server pgvector SQLAlchemy

Data

ETL Pipelines Tableau Talend SSIS Apache Superset Trino NASA FIRMS NOAA Satellite GeoJSON/MVT

Tools / Integrations

Git Jira Asana Slack Teams GA GTM Google APIs Tealium Salesforce NetSuite Shopify Square Datorama
Notable Clients & Partners
Intel
SSO & Marketing
Microsoft
API Integrations
HP
Security & Automation
Bank of America
Analytics
IBM
Marketing Cloud
eBay
Trust & Background Checks
Jeld-Wen
Data & Analytics
Education
University of Pennsylvania
BSE Systems Science and Engineering — Business and Information Systems Engineering
1995 — 1999
Get in Touch

Open to conversations about data platform work, systematic trading research, and AI tooling. The form reaches my inbox directly.

mz@mzlabs.llc LinkedIn Portland, OR