About Me

I’m a mechatronics engineer with a Master’s in Software Engineering, blending strong hardware and software skills. My deep software development knowledge equips me for diverse software engineering roles. Creative and quick to learn, I approach challenges with positivity and technology-driven enthusiasm, ensuring effective performance under pressure.

Education

Software engineering specialty

2022 - 2023
Universidad de Guadalajara

Universidad de Guadalajara - Software Engineering

Bachelor's degree

2014 - 2019
Tecnológico Nacional de México

Campus Colima - Mechatronics Engineering

Azure AZ-900 Certification

2022
Microsoft Education, 2022

Certification that validates basic knowledge in Microsoft Azure cloud

Experience

System for Tracking Academic Performance of Students

Aug 2022 - Dec 2022
Universidad de Guadalajara, Mexico

Project Leadership: Led a team in developing a full-stack academic performance tracking system for Master of Software Engineering students. Version Control: Implemented Git and Github for efficient collaboration and project tracking. Backend Skills: Utilized Node.js, Express, Prisma, and Postgresql for a robust backend infrastructure. Frontend Expertise: Developed the frontend using React, ensuring an intuitive and user-friendly interface.

Full Stack Developer

Dec. 2022 - Apr. 2023
Bright Coders, Mexico

During my time at the Ruby on Rails bootcamp, I developed a full stack web application that serves as a point-of-sale system for restaurants. The application includes modules for kitchen staff to view incoming orders and manage order status, a service module for wait staff to take customer orders, and an administrative module for management to view sales reports and other analytics.

System for the Analysis of Nanoparticles Micrographs

2023
Universidad de Guadalajara, Mexico

As part of my specialty in Software, I developed a full-stack web application using React for the front-end, Django with Python for the back-end, and PostgreSQL as the SQL database. The application allowed users to upload images of nanoparticles from microscopy and utilized machine learning techniques to segment the nanoparticles, count them, and calculate their area. Each user had their own account, allowing them to keep a history of the images they analyzed.

Technical Skills

Skill

Dreyfus stage and experience

Javascript

Competent (2 years)

Python

Novice (2 years)

Ruby

Advanced beginner (6 months)

ReactJS

Competent (1 year)

Express

Competent (1 year)

Ruby on Rails

Advanced beginner (6 months)

HTML

Competent (2 years)