Hi, my name is Snir Yulzari.

I develop web applications.

I'm a developer specializing in React, Node.js, MongoDB, SQL and CSS.

Currently, I'm making a career switch from Leagl to Full Stack Development.

Projects I'm proud of

Full Stack Project

Pet Adoption

Ado-Pet is a full-stack platform that allows users to sign up, search and adopt their favorite pet. The project was originally created as an ITC boot camp assignment, which I upgraded, enhanced, and improved afterwards, adding features like pet of the week, and improving the design. Ado-Pet utilizes MongoDB as a database for storing information regarding users and pets. The Admin Dashboard provides access to this information. You may want to try Ado-Pet . To see the code click Ado-Pet code.

Technologies used include:

  • React
  • Node.js
  • MongoDB
  • Bootstrap
  • Git Hub
Screenshot of the Pet Adoption Project.

Android & IOS Application

Mood Tracker

Meet MoodTracker - a super easy mood tracker & journaling app to capture your mood and help you improve your thinking habits. MoodTracker empowers you to track your mood over time, avoid common thinking traps, and develop perspectives associated with increased happiness and well-being. To see the code click MoodTracker code.

Technologies used include:

  • React Native
  • TypeScript
  • Xcode
  • Android Studio

Design Project

Magenta Lime

I designed a website for the fictional band Magenta Lime. This project demonstrated my frontend skills, using mainly CSS, HTML, and a bit of vanilla Javascript. A fully responsive website is available for desktops, tablets, and mobile devices. If you would like to view the first design, click here, and if you would like to view the second design, click here. To see the code click Magenta Lime code.

Technologies used include:

  • HTML
  • CSS
  • Java Script
Screenshot of the Wall of Wonder Collections.

Hackathon Group Project

Secret Apartments

Secret Apartment is a proof of concept Application, that help the users find out the average cost of renting or buying an apartment in a specific area. Based on this information, it will mark the cheapest available property that is less than the market price.

Technologies used include:

  • React
  • Node.js
  • SQL
  • CSS
Screenshot of the secret apartments project.

Contact me

I'm always interested in hearing about new ideas, business opportunities and talk to interesting people.

Email me