I’m a software engineer who loves the command line, clean code, and making complex systems simpler. I thrive at the intersection of data engineering, analytics, and modern JavaScript frameworks, with a focus on test-driven, maintainable design.

I believe in tools that work with developers — not against them.

• ✅ Nice people solving meaningful problems
• 🟢 Node.js and everything around it
• 💚 Vue 3 for expressive front-end experiences
• 🧪 Test-driven design for predictable results

Software Engineer (2022 – Present)

Working across a multi-repository Windows environment, combining Node.js, Express, and Electron with strong CI and test practices. Responsible for development, deployment automation, and analytics modeling.

Tech stack: Electron, Node.js, Express, Vue, TypeScript, Sequelize, MariaDB, MongoDB, PowerShell, Python, Mocha, Sinon

Highlights

• 🖥️ Electron Installer (Vue3 + Vite + TypeScript)
• 📊 Analytics & ML modeling (Node + Python + TensorFlow)
• 🔁 Dependency & version management (PowerShell + Git + Node)
• 🚀 Deployment automation (Node + Express + PowerShell)
• 🧭 Static analysis, style guide, JSdoc, and Wiki docs
• 🧪 Unit testing (Mocha + Sinon + Vitest / node:test)

All commits are on private GitHub repositories.

Application Developer (2017 – 2021) Web development across multiple repositories on GitHub Enterprise

Built and maintained applications in Node.js, Angular, and ColdFusion for university operations.

Tech stack: Node.js, Angular (1.x & 7+), ColdFusion, TypeScript, Gulp, Mocha, Sinon, SQL Server, ESLint, Karma

Notable internal tools

• ⚙️ Centralized Builders (Node.js) – unified build pipelines across repositories
• 🚢 Release Commit Deployments – made functional testing & deployment nearly instant
• 🔍 Yarn Audit Scanner (Node.js + GH REST API) – automated CVE detection & reporting

Most commits are hosted on a private university GitHub Enterprise instance.

Business Intelligence Developer (2015 – 2016) Customer-facing BI products for real-time hospital asset tracking

Developed analytics and reporting components supporting MobileView, Stanley’s RTLS platform.

Core responsibilities

• Designed performant SQL against data-warehouse schema
• Prototyped Tableau dashboards and custom analytics views
• Collaborated with UX and technical writers on deployment & documentation
• Supported customer sites (Tableau Server, SQL Server, MobileView configuration)

Key achievements

• Simplified Excel-based database sizing tool for accurate sales quoting
• Built troubleshooting dashboards for product support teams
• Created new BI products for Hand Hygiene, Environmental Monitoring, and Staff Rounding

Data Engineer (2012 – 2015) Manufacturing operations reporting and visualization

Built and maintained reporting infrastructure to visualize operational metrics across manufacturing systems.

Core responsibilities

• Requirements, data discovery, and specification authoring
• Full-stack development and deployment on AWS (EC2)
• Ongoing maintenance and performance tuning

Key achievements

• Automated key production and planning metrics
• Created a task-scheduling system running across EC2 instances (Ruby)
• Built a clustered web app using Sinatra + Thin behind AWS load balancers

Node.js, Vue 3, Electron, TypeScript, Express, Sequelize, MariaDB, MongoDB Python, TensorFlow, PowerShell, Mocha, Sinon, Vitest, CI/CD

• Building cross-platform desktop apps with Electron + Vite
• Streamlining Node ↔ Python analytics pipelines
• Smarter task scheduling and automation frameworks