Full-stack software engineer: expertise in JavaScript, React, Redux, Node, ORMs, TDD. Additional experience in Ruby on Rails, PHP, and the PyData stack. Current interests include data management, DevOps, and developer tools.

Background

• 2018-present: Software Engineering @ Fullstack
• 2016-2017: Web Development @ Wake Forest
• 2016: Data Science @ Metis
• 2014: Philosophy @ Swarthmore

Technical Projects

At Fullstack:

• DevBook (Firebase, GitHub)

  JS coding workbook with realtime container provisioning, inspired by Beaker and RunKit.

  Led API work; notebook interaction design and UI; and microservice refactors, docs, testing.

  Technologies used: Node, Docker, React, Firebase, CodeMirror, Material UI.

• regbin (npm, GitHub)

  Form validation function generator: regularized bindings for form fields against which to test data.

  Built-in support for 32 default fields, async and custom validators, Redux Form.

  Nerd Cred award for most technically challenging project, Fullstack Academy “Stackathon.”

• D & D (Heroku, GitHub)

  Ecommerce for an NYC-based spirits store.

  Architected app flows, built out API, practiced TDD, became the go-to debugger.

  Stack: Node, Express, Sequelize, React-Redux, Flexbox; APIs: Passport, Stripe, Semantic UI.

At Wake Forest:

• Sitcom Reader Companion Website
• The 18th-Century Common
• Rulers of Venice
• Tout le Monde

At Metis:

• Celebrity Chef Recipe Suggester (GitHub): Wouldn’t you like to see what celebrity chefs could do with your ingredients?
• Homologies of Biblical Proportions (GitHub): NLP comparing rhetoric across multiple versions of written work.
• Preprocessing for Coronary Artery Disease Classification (GitHub): Featuring a machine learning pipeline for imputing missing values.
• MovieLens Tag Genome Toolkit (GitHub): Functions for dealing with data from the MovieLens Tag Genome Dataset.
• Markov Text Generator (GitHub): Markov humor, formal language, Foucauldian undertones?

Contact me

• Email
• LinkedIn
• Twitter