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Axel De La Guardia

Back End Engineer
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About me

As a highly motivated and quick-learning individual with a background in operations and HR, I am pursuing a career as a software developer. I have a passion for software development and am excited to expand my knowledge and skills in this field.

I am completing the backend program at Turing School of Software and Design, where I gained experience with Ruby on Rails and developed several projects. Additionally, I have some experience with Python, having used it to build a call light system for a long term care facility. I am proud to have designed the schematic and built the PCB for the system, as well as programming Raspberry Pi Controllers using Python and MQTT for wireless notifications. This project sparked my interest in hardware and electronics, and I hope to further explore this area in the future.

I am an excellent problem-solver and have a strong desire to continually learn and improve. I am confident that my skills and experience will allow me to make valuable contributions in the software development field.

Preferred locations

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

Previous industries

  • Human Resources
  • Recreational Facilities and Services

Skills

  • Continuous Integration
  • Django
  • Git
  • GitHub
  • PostgreSQL
  • Postman
  • Python
  • Rails
  • Redis
  • RSpec
  • Ruby
  • SQL
  • User Authentication

Currently learning

  • AWS
  • Docker
  • JavaScript
  • React

Projects

TLDR

TLDR

Project scope time 96 hours
Collaborators Profile picture for Elle Majors Profile picture for HADY MATAR Profile picture for Isaac Alter Profile picture for Conner Van Loan

Tools Used

  • AWS
  • Django
  • PostgreSQL
  • Postman
  • Python

TLDR was developed as a platform with the purpose of simplifying the comprehension of terms and conditions. It streamlines the process of understanding complex legal documents by presenting the relevant terms and conditions, taking into account a user's specific areas of interest. The platform generates tailored summaries that provide insights into how those specific elements impact the user. Furthermore, TLDR assigns an overall score to help users assess the potential impact and offers practical suggestions to empower them to make informed decisions.

Regarding the backend of the application, the main objectives were to create RESTful endpoints using Python Django. As a stretch goal, we aimed to utilize ChatGPT to parse through local data, analyze it, and return responses. Additionally, we successfully implemented additional features such as the ability to receive PDFs from the front end application and conduct comparisons of different sets of terms and conditions.

Launch the App Code Repository
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HelpList

HelpList

Project scope time 80 hours
Collaborators Profile picture for Jade Stewart Profile picture for Adam Bailey Profile picture for Andra Helton Profile picture for Elle Majors

Tools Used

  • Bootstrap
  • Heroku
  • PostgreSQL
  • Postman
  • Rails
  • Redis
  • RSpec
  • Ruby

HelpList is a platform established to harness the power of crowdsourcing in order to alleviate the challenges faced by women who have survived domestic violence. The ultimate objective is to facilitate the enrollment of these women into organizations and empower them to create wishlists of items specifically from Kroger that they require. This approach enables users to directly donate those items to support women in need.

The application was creating using Ruby on Rails implementing a Service Oriented Architecture. The backend application incorporates RESTful endpoints and includes user authentication with Google OAuth. Additionally, we integrated the use of Sidekiq and Redis for background workers, allowing for the sending of welcome emails to users. For the frontend application, we utilized Bootstrap and Bootswatch, along with custom CSS to enhance the visual design and styling.

Launch the App Code Repository
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