Skill Matrix
Click any skill to light up the projects where I used it. Numbers show how many.
Languages
Databases & Pipelines
Tools & Infrastructure
Web & Application
AI & Machine Learning
Industrial Controls & Electrical
Mechanical & Design
Process & Quality
Highlight of the Year
Project:
Data-Automation-Pipeline-V1
End-to-end data pipeline that uses Python connection drivers (psycopg2) to reach through the network layers of a local, Docker-hosted PostgreSQL instance and fully automate the database lifecycle.
PostgreSQL runs inside a Docker container with mapped ports and persistent volumes, so the whole environment can be torn down and rebuilt identically on any machine.
- ✓ One command rebuilds the database from zero to analytics
- ✓ Repeatable, environment-independent runs via Docker
- ✓ Transaction-safe ingestion with rollback on failure
Additional Builds
CAD / Web / Pricing
Factory Spec Builder
Browser tool that parses uploaded STEP/CAD files with WebAssembly, renders them in interactive 3D, measures part dimensions, and runs a cost-matrix engine for material, process, and assembly pricing through to checkout.
Automation / Self-hosting
Self-Hosted Promo Pipeline
Automated content pipeline running from a home server: Python and SQLite manage a weighted rotation schedule, delivered securely through a Cloudflare Tunnel with origin validation.
Local AI / Orchestration
Local AI Video Studio
Fully local generative workflow: a Gemma model on Ollama develops prompts, a Streamlit controller directs the pipeline, ComfyUI renders video, and results are cataloged in a self-hosted media library.
Generative / QA process
AI Artwork Workflow
Repeatable AI image pipeline with written briefs, brand-consistency rules, review checkpoints, and optimized delivery formats, documented step by step.
Build Log: Progress with Lovable
Everything I've shipped since I started building with Lovable, in order, with the skills each one put to work.
Personal Landing Page
First Lovable build: a one-page site introducing my engineering, AI, and creative disciplines, published live.
Business Portfolio & Storefront
Grew into a multi-page business site: portfolio galleries, two resumes, a quote and custom-request system with email, a merch store with Stripe checkout, and a self-hosted media feed.
Business Card Generator
Tool that lays out printable business cards (front and back, horizontal and vertical) from a profile of skills and contact details.
Streaming Hub
Central page for streaming content with integrated social and channel links, published live.
Signal Identity Creator
Brand-system tool that defines color tokens, typography, and identity pages, with AI-generated artwork held to written art-direction rules.
Factory Spec Builder (inside the business site)
3D CAD upload and quoting tool: parses STEP files in the browser, measures parts, and prices material, process, and assembly.
Data & Automation Resume (this page)
Recruiter-ready portfolio with an interactive skill matrix and one-click PDF, Word, RTF, and text resume exports.
Experience
Data-focused roles, 2021 onward.
2025 - Present
Data & Automation Engineer (Independent)
- ▸ Built Data-Automation-Pipeline-V1: containerized PostgreSQL with Python-driven migrations, batch loads, and analytic SQL.
- ▸ Built a self-hosted promo pipeline on a home server with Python, SQLite, weighted rotation, and Cloudflare Tunnel delivery.
- ▸ Run Linux, Docker, and WSL/hypervisor environments with Git-based workflows.
2021 - 2026
Engineering Technician, Hydro Precision Tubing (Rockledge, FL)
- ▸ Installed new equipment end to end: power, line controls, pneumatics, mechanical assembly, and fabrication.
- ▸ Integrated measuring equipment with analog/digital I/O for temperature, flow, and pressure data.
- ▸ Used software data readings to link process and quality problems, driving fixes through to stable full-time production.
- ▸ Diagnosed electrical faults and edited PLC controls logic.
From the Production Line to the Pipeline
I learned automation on the factory floor before I wrote a line of Python. For more than a decade I kept high-speed packaging lines running: tuning film-web tension, dialing in induction sealing, fabricating parts that didn't exist, and editing Allen-Bradley PLC ladder logic so machines did what the process needed.
That work taught me how systems actually fail: at the handoffs, under load, at 3 a.m. Data pipelines fail the same way. So I rebuilt my toolkit around Linux, Docker, PostgreSQL, and Python, and I design pipelines the way I'd commission a machine: isolate it, instrument it, make every step repeatable, and make recovery boring.
I'm looking for a founding or early team where infrastructure has to be dependable from day one, and where someone who has run physical production systems can bring that rigor to data.