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Weston Sandfort

Back End Engineer
Pronouns he/him
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About me

Enthusiastic Political Science graduate from Colorado College, now leveraging my analytical and problem-solving skills in a new career as a Back-End Software Developer. With three years of experience as a legal assistant at the multi-national law firm Cooley LLP, I cultivated strong communication and collaboration abilities, which have been vital in my transition to the tech industry.

In 2022, I embraced change and embarked on an exciting journey to master back-end software development. Now adept in Ruby on Rails, I am eager to apply my expertise and contribute to innovative projects that challenge and inspire me.

Please feel free to connect or reach out at if you're interested in discussing potential collaborations, opportunities, or simply exchanging insights on the tech industry. Looking forward to connecting with you!

Preferred locations

  • Boulder, CO
  • Denver, CO
Open to remote work

Previous industries

  • Legal Services
  • Legislative Office
  • Research


  • ActiveRecord
  • Apple
  • Continuous Integration
  • Git
  • GitHub
  • GitHub Projects
  • GraphQL
  • Heroku
  • Linux
  • PostgreSQL
  • Postico
  • Postman
  • Rails
  • Redis
  • RSpec
  • Ruby
  • SQL
  • User Authentication
  • Visual Studio

Currently learning

  • JavaScript


Inner Worlds

Inner Worlds

Project scope time 80 hours
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Tools Used

Inner Worlds is an application to help a user keep a detailed dream journal, and provide data about their dreams. This repository serves as a GraphQL API for our Front End Application.

The learning goals for this project were;

Demonstrate knowledge you’ve gained throughout Turing Use an agile process to turn well defined requirements into deployed and production ready software Gain experience dividing applications into components and domains of responsibilities to facilitate multi-developer teams. Service oriented architecture concepts and patterns are highly encouraged. Explore and implement new concepts, patterns, or libraries that have not been explicitly taught while at Turing Practice an advanced, professional git workflow including a Pull Request Review Gain experience using continuous integration tools to build and automate the deployment of features Build applications that execute in development, test, CI, and production environments Focus on communication between front-end and back-end teams in order to complete and deploy features that have been outlined by the project spec

Launch the App Code Repository
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Character Chords

Character Chords

Project scope time 100 hours

Tools Used

Character Chords is a full-stack Ruby on Rails app that uses a variety of technologies to provide a seamless and engaging music exploration experience. Here are some of the key technologies we use:

Ruby: Character Chords is built with Ruby, a powerful and dynamic programming language that is well-suited to web development. Ruby on Rails: This application is also built with Ruby on Rails, a powerful web framework for easy web development with APIs and data storage options. PostgreSQL: We used PostgreSQL for robust web application data storage and management. HTML/CSS: We use HTML and CSS to create the app's user interface and styling, respectively. Tailwind CSS: Character Chords leverages Tailwind CSS, a utility-first CSS framework, to create a streamlined and responsive design. CircleCI: We use CircleCI for our continuous integration and continuous deployment (CI/CD) pipeline, which automates the testing and deployment of new code changes. Ruby on Rails CI: Character Chords is also tested using Ruby on Rails CI, a GitHub Action that runs tests for Ruby on Rails applications. Spotify OAuth: We use Spotify OAuth to enable users to log in to the app securely and access their Spotify accounts. Amazon S3: Character Chords utilizes Amazon S3 for cloud storage, which allows us to securely store and manage user-generated content like playlists and user data. External APIs: Character Chords consumes external APIs from Spotify and OpenAI to provide personalized music recommendations based on user preferences and personality traits.

Launch the App Code Repository
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