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Yuji Kosakowski

Back End Engineer
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About me

I was born in Maryland and grew up in Colorado. I enjoy traveling to experience different cultures and of course the food! I've lived in Tokyo, Japan for 6 months learning the language and enjoying the local culture. I'd like to go back soon! I have trained the martial art of Aikido, which has given me the opportunity to assistant teach at seminars and travel to places like Nepal, Oman, Bolivia, and Vietnam.

Currently, I am on the Back-End Engineering track at Turing school of Software Development and Design. Software development interests me because there is the opportunity to continually learn and grow, keeping things fresh.

I have worked in the restaurant industry for quite a while and in in-home sales. I enjoy helping others, whether it is choosing the right dish, finding the best flooring solution or creating an application that saves someone time and effort.

Preferred locations

  • Denver, CO
  • Dallas, TX
  • Houston, TX
Open to other locations and/or remote work

Previous industries

  • Consumer Goods
  • Food & Beverages
  • Higher Education
  • Hospitality
  • Military
  • Museums and Institutions
  • Performing Arts
  • Recreational Facilities and Services
  • Restaurants


  • CSS3
  • Git
  • GitHub
  • HTML5
  • Rails
  • RSpec
  • Ruby

Currently learning

  • Python




Project scope time 60 hours
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Tools Used

  • Git
  • GitHub
  • Google
  • Python
  • Rails
  • Ruby
  • Slack
  • Software Architecture

Menuify is an application that can be used by restaurants that creates a viewable menu for guests.

For some restaurants, menus are only viewable through phones after scanning a QR code. These menus can have small text, be difficult to read and navigate, which makes it cumbersome for a hungry guest.

Menuify helps restaurants display easy to read and navigate menus that even those with difficult eye sight or that is tech challenged can use.

During this project I assisted in created micro services our Menuify application. One micro service created with Ruby on Rails and the other Python with FastAPI. Creating micro services allowed our team to organize our back-end. One micro service handling the database with CRUD functionality and the other calling an external API for an image search. The micro service created with FastAPI allowed me the opportunity to learn new technology and apply the same learning techniques that I have used previously in a new topic. Take a look at my teams deployed application!

Launch the App Code Repository
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Lunch and Learn

Lunch and Learn

Project scope time 20 hours

Tools Used

  • Git
  • GitHub
  • Rails
  • Ruby

Lunch and learn is an api created for usage with a front end application(SOA). Lunch and Learn utilizes 3 external third party api's to create an easily usable solution to find recipes and learning resources based on the countries of the world.

Through this project my focus was to use external api's, organized and removed unwanted data to return an easily useable JSON object for a front-end team.

Code Repository
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