Hi, my name is Dévi Hall.

I develop software and the web.

I'm a student and a developer, taking a full stack Coding course at University of Miami.

About Dévi Hall

Just the highlights

I am a talented developer, eager to turn wireframes and designs into well-tested code. I look forward to working collaboratively, to iterate and provide improvements to the existing code base, and contribute to advancements in new features through highly effective frontend design and problem-solving through well organized back end design. I have a unique combination of skills and work experience in the field of Science education and research. My tenure in education and research allowed me to sharpen my soft skills in communication, critical thinking, time management and empathy, and I look forward to the opportunity to bring my experience and skills to your team.

My favorite technologies include:

  • JavaScript
  • SQL
  • TensorFlow
picture of Dévi Hall.

Projects I'm proud of

Latest Project

Screenie Meanie

Saw a movie recently and want to sound-off? Screenie Meanie is a platform where you can tell us about movies you hate to love or love to hate! We put all the movies you watched into your profile. You can tell your friends how you really feel about movies you watched, link to it and a movie poster, and upvote and comment on friends reviews. GitHub Link, and Screenie Meanie App.

Technologies used include:

  • Express & Node.js
  • Sequelize
  • Handlebars
  • MySQL
Screenshot of Screenie Meanie.

Bootcamp Project

Zookeepr

Created a web server using the Express.js framework, which was then added it to a front-end application for a local zoo is , called Zoo Keepr. The site’s data lives on this new server so that anyone can access it without having to download it. This application is deployed to Heroku. GitHub and Zookeepr App

Technologies used include:

  • Node.js
  • Express.js
  • JavaScript
Screenshot of the Zookeepr App.

Employee-Tracker

A content management systems (CMS) based on the command-line, to manage a company's employee database. Built using Node.js, Inquirer, and MySQL. The MySQL2 package connects to the SQL database and performs queries, the Inquirer package interacts with the user via the command line, and the console.table package prints MySQL rows to the console. GitHub and video walk-through

Technologies used include:

  • SQL
  • Inquirer
  • Node.js
Screenshot of Emplyoyee-Tracker

Personal Project

Smart Webcam

A smart webcam with TensorFlow.js pretrained machine learning model. A webpage that uses machine learning directly in the web browser via TensorFlow.js to classify and detect common objects, (yes, including more than one at a time), from a live webcam stream. This can supercharge your regular webcam to identify objects and get the coordinates of the bounding box for each object it finds, and highlights the found object in the video stream. Based on a Google Codelabs guided tutorial. GitHub and Smart webcam page

Technologies used include:

  • HTML
  • CSS
  • JavaScript
  • TensorFlow.js
Screenshot of the Smart Webcam.

Contact me

I'm always interested in hearing about new opportunities.

Email me