Project Highlights
Project Highlight: CV2-X Automotive Sofware Engineering Intern
During my internship at Qualcomm, I was the only undergraduate intern working on their Cellular Vehicle to Everything (CV2-X) team. I was in charge of implementing C, C++, Java, and Python based applications and use cases for a trial system we were doing with partners in the U.S., China, and other European countries. Since we were a small team, I got to work on critical software projects that directly impacted our vehicle test trials we did. At the end of my internship, I got to present my poster to Qualcomm's Research and Development division which included Vice Presidents, Directors of engineering, and senior engineers.
Project Highlight: Jordyn
During LAHacks, I built a smart lazy Susan with my friend Atl.
I worked on the backend connecting the Amazon Echo with our raspberry pi and on the Alexa skills kit to process our commands.
The goal was to create an automated way to get ingredients while cooking in order to make cooking more efficient by making our device give you the right measurements quickly. In the future, with machine learning, the device would be able to learn your cooking habits and recommend healthier habits.
I worked on the backend connecting the Amazon Echo with our raspberry pi and on the Alexa skills kit to process our commands.
The goal was to create an automated way to get ingredients while cooking in order to make cooking more efficient by making our device give you the right measurements quickly. In the future, with machine learning, the device would be able to learn your cooking habits and recommend healthier habits.
Project Highlight: Steer Clear
My team got first place at Qualcomm's Intern hackathon(over 200 interns participated) for developing an application that alerted a driver when they started to get drowsy. When drowsiness was detected, the driver was alerted by a combination of audio and tactile alerts. I worked on the computer vision aspect of the project using the dragonboard, opencv, scipy, and Microsoft's Face API. We presented our project to a large auditorium of Qualcomm managers and interns and then got to present to the VP's in the executive board room.
Project Highlight: Raza resource Centro App
During my internship, I worked on creating a hybrid phone application to have an easy way for our students to access the resources of the Raza Resource Centro. I worked on both the frontend and backend engineering and this was the first time anybody had attempted to create an app for a campus community center.
Project Highlight: Lane Detection Pipeline
As the lead for the SHPE's Code Team, I went through Udacity's Self Driving Nanodegree Term 1 and taught the rest of my members projects related to computer vision, machine learning, and convolutional neural networks. This lane detection pipeline was one the first projects I taught my team.
Project Highlight: smartMirror twist
For one of my speculative design classes, I built a smart mirror using an old monitor, raspberry pi, webcam, and tools I found in my lab. The smart mirror used computer vision to detect the emotion of the user and depending on their mood, would challenge them to get a reaction out of it. This project was meant to challenge the ways people use smart assistants and demonstrate how these smart AI's can go wrong. Most people want an assistant that is passive and will never be mean to them. But what happens when the assistant somehow gets tired of being nice and develops its own personality? For example, if it detected the user was happy, it would text them a sassy response to get them angry. The goal was to challenge the user in a way that forces the user to feel uncomfortable.
Project Highlight: slackbot for Rising Engineers advanced Challenge(REACh) Competition
As the lead for the SHPE's Code Team, I taught my team how to build a slack bot using the Slack API, Python and Heroku. Then, in order get them to apply what they learned, we built a bot we actually used for our annual REACh Competition. The bot was in charge of giving challenge puzzles to our members and letting them know what tasks they needed to complete.
