Adrian Salgado Lopez
Software Engineer | CSULA 23 Honor Graduate | Bachelors in Computer Science
Me
My name is Adrian Salgado Lopez, and I graduated from Cal State LA with a bachelor's degree in Computer Science in Spring 2023.
I am no stranger to working in a team, programming, and learning new technologies- my whole school career was all about that. Using tools like Git and GitHub to keep track of code, Zoom to communicate with teammates, google docs to write down any documentation needed, and Jira to keep track of project tasks.
I want to continue my education abroad and obtain a masters in Artificial Intelligence, in hopes of one day using the knowledge gain to make a change in the healthcare industry to provide a less stressful and scary experience for the patient and their friends and family.
Personal project website powered by Spotify Web API, where you can search for music, look at more info, and listen to a preview.
Implemented the backend using Express.js, Node.js, MongoDB, axios, and Swagger API.
Implemented the frontend using React.js, CSS,
QTC Dashboard - single location to display errors from different locations
Ensured all QTC UI/UX Standards were met during development and tracked all front-end needs that needed to be completed.
I implemented all dashboard styles, table functionality and fixed front-end and back-end bugs, aswell as create & complete front-end tasks.
The object detection script can be used on videos and live videos to detect stop signs.
The model was trained using OpenCV with a dataset of ~250 images.
A discord music bot that can be added to a discord server and play any youtube video's audio, given the right command and valid youtube link.
Personal project website powered by Spotify Web API, where you can search for music, look at more info, and listen to a preview.
Implemented the backend using Express.js, Node.js, MongoDB, axios, and Swagger API.
Implemented the frontend using React.js, CSS,
QTC Dashboard - single location to display errors from different locations
Ensured all QTC UI/UX Standards were met during development aswell as keep track of all front end needs that needed to be met.
Implemented all dashboard style, table functionality, & fix frontend and backend bugs.
Object detection script that can be used on videos and live videos to detect stop signs.
Model was trained using OpenCv with a dataset of ~250 images.
Discord music bot that can be added to a server and can join a voice channel and play any youtube video given the right command and valid youtube link.
