Hi, I'm Mike

I'm a cognitive scientist turned software developer. I have 8 years of experience building systems that measure things well.

I started in attention and eye-tracking research, then moved into software development. I've done similar work the whole time: figuring out what to measure, how to sample it fairly, and how to tell signal from noise. My day job is the middle layer — turning messy inputs into trustworthy data and building the test infrastructure that tells you whether something actually works.

Experience 🔗

• Developed React-based frontends with OpenLayers in TypeScript, prioritizing user experience and maintainable code.
• Modified Node.js back end to interface with various microservices, ensuring code maintainability.

• Created React-based web interfaces in TypeScript for classified defense projects, focusing on intuitive UX and maintainable code.
• Scoped out the implementation of various geospatial-related pages.
• Enhanced React Native mobile interfaces for a retail workforce application.
• Collaborated on back end development using Python and Node.js, integrating APIs so the front end and back end could talk to each other.

• Analyzed weather and traffic data using Apache Spark with Python and Scala for real-time driver notifications.
• Used QGIS to segment Autobahn routes into GPS points for road weather condition modeling (proof of concept for Daimler AG).
• Implemented functionality for a single-page application built with Angular and Leaflet for weather predictions and road conditions.

• Took ownership of entire Ruby on Rails projects and worked directly with customers on requirements.
• Developed websites using Ruby on Rails, Bootstrap, Material Design, and Angular.js with a TDD approach.
• Wrote frontend code with JavaScript, TypeScript, and CoffeeScript.
• Designed UI mockups using Inkscape and Pixelmator.

• Taught Graphic Design workshops using Blender, Krita, Goxel, and MagicaVoxel.
• Created learning material and adapted workshops for young adults diagnosed with mental disabilities.

Education 🔗

• Co-authored a peer-reviewed journal publication.
• Implemented an attentional model (Emergic Network Architecture) in Python that simulated eye-tracking movements.
• Established a version control system (git) for the AI model's codebase.
• Documented various wiki articles regarding the AI model.

• Became proficient with Blender and some Blender Python.
• Became familiar with Maya and Adobe Photoshop.

Certifications 🔗

• edX Verified Certificate for HTML5 Introduction
• edX Verified Certificate for Systematic Program Design – Part 1
• Coursera Verified Certificate: The Bits and Bytes of Computer Networking

Publications 🔗

• WikiSilo: A Self-organizing, Crowdsourcing System for Interdisciplinary Science