Hello, I'm Justin!

Profile Picture
Hi, my name is Justin, and I'm a master’s student in Computer Science at UC Riverside, specializing in artificial intelligence and autonomous systems. I am deeply interested in how intelligent technologies can improve the way we live, move, and interact with the world! While my academic focus lies in AI and autonomy, I also really enjoy the creative side of development, especially front-end design and building intuitive, user-friendly interfaces. Outside of computer science, I’m passionate about working with and mentoring kids, something that has taught me a lot about patience, communication, and empathy. In my free time, I’m a huge NBA fan and always on the lookout for a new hobby to dive into, whether it’s learning a new tool, picking up a skill, or exploring something outside my usual routine.
Iceberg

Skills

React

React

Node.js

Node.js

HTML5

HTML5

CSS3

CSS3

Git

Git

JavaScript

JavaScript

Python

Python

MySQL

MySQL

Linux

Linux

Qt

Qt

Fish Group Fish Group Fish Group

Projects

Project Screenshot

Robosub (December 2023 - June 2024)

As part of the RoboSub team, I developed and implemented computer vision algorithms using OpenCV to enhance the capabilities of an autonomous underwater vehicle. My work focused on real-time video and image processing, including frame-by-frame analysis, corner and edge detection, and feature tracking in challenging underwater environments. I designed visual detection systems to identify red lines and parallel markers, enabling more accurate navigation and obstacle avoidance.

github.com/Jyro88/Robosub

Project Screenshot

Solar Car Dashboard (March 2022 – June 2023)

I contributed to the development of a dashboard interface for UCR's Solar Car team, focusing on performance, design, and real-time data visualization. I optimized backend code by reducing memory usage, removing unused variables, and simplifying core functions. On the front end, I designed and implemented UI elements using QtCreator and C++, and helped shape the visual experience of the dashboard. I also worked on loading simulated data from InfluxDB for visualization in Grafana, integrated the system into a Raspberry Pi with a 7" touchscreen, and collaborated in weekly meetings to iterate on design and implementation.

github.com/UCR-Solar-Car

ACM Web Portal

ACM at UCR – Web Developer (March 2022 – June 2023)

As a web developer for ACM at UC Riverside, I helped design and implement website components using React and Tailwind CSS. Working with a team of over 10 developers, we built a statically generated Next.js site hosted on U CR’s servers. I contributed to the ACM membership portal, which allows members to track progress and perks, view upcoming events, and schedule resume and interview prep workshops. I also helped build a mini Leetcode-style project aimed at teaching beginner-level programmers while still offering a meaningful challenge.

github.com/acm-ucr

ACM Web Portal

NBA-Predictor (In progress)

A full-stack web application that predicts NBA game outcomes using recent team performance. Built with React, TailwindCSS, and Flask, this project showcases real-time scores, team logos, and prediction confidence based on the last 15 games.

https://github.com/Jyro88/NBA-Predictor

Experience

Quantum Signal AI (Ford Subsidiary)

DevOps/Software Engineering Intern

  • Developed an automation system for generating bug tracking issue notes triggered by SVN commits, reducing manual work and human error.
  • Enhanced project tracking accuracy and team collaboration through improved development workflows.
  • Automated hard drive cleanup by comparing file contents to a MySQL database, improving data management and security.
  • Enabled detection and removal of unauthorized files to support data compliance policies.
  • Delivered multiple projects across the full SDLC — from design to testing and documentation.

Hawk Ridge Systems

Database Specialist

  • Managed lead uploads, market research, and data cleaning in Salesforce.
  • Tracked marketing data via Marketo to inform data-driven strategies.
  • Queried lead data with Postman to support automated workflows.
  • Configured and maintained CaptivateIQ for commission tracking, including rule creation and troubleshooting.
  • Updated PDF layouts using HTML/CSS and created automated reports.
  • Optimized workflows using Monday.com and Salesforce Flow automation.

Bloom

Software Engineer Intern

  • Collaborated directly with the founding team in a fast-paced startup environment, driving end-to-end product development and strategy.
  • Owned full-stack implementation of a highly requested email-sending feature, integrating OAuth-based Gmail delivery, template creation, variable mapping, and a rich-text editor.
  • Enhanced product UX and accessibility by optimizing mobile responsiveness across core pages.
  • Updated AI-powered player detection system to automatically track events attended
  • Built intelligent email customization feature using AI prompts to personalize messaging
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