Brenden Trieu

Full Stack Developer

About Me

As a relentless and ever-evolving full-stack developer, I am committed to continuous learning and creating meaningful impacts wherever I go. A proud graduate of the University of British Columbia with a degree in computer science, my lifelong passion for software development has driven me to excel in full-stack development, supported by valuable professional experience gained from my Co-op internship at Atomic47. I am dedicated to crafting efficient and innovative solutions for every challenge I encounter, with a vision to empower those around me. If you share this mindset, I invite you to explore my projects and join me on this inspiring journey of limitless possibilities.

img of me

Worked with

Projects

A personal project that serves as a showcase of my web development capabilities. Leveraging Next.js and Bootstrap elements provides an accessible overview of my identity and past work.

Continuously evolving, the website will feature updates with new projects to demonstrate and elaborate on my skills.

Click here for the repo

Prism Page

Crafted a video parser and image recognition platform, allowing users to upload videos and a reference image, generating a curated array of selectable images exportable to a CSV file. This file captures both the image ID and timestamp.

The application seamlessly integrates Next.js with Material UI for the front end and relies on Django for the back end. Leveraging custom Material UI components, the front end achieves both reusability and a polished, user-friendly interface.

Click here for the repo

Prism Page

An independent university project completed within two months, employing primarily PHP and jQuery for asynchronous database searches based on a search filter. The project predominantly utilizes JavaScript, executing SQL queries to retrieve book titles.

Please note: The project cannot be run as the database is no longer online, but the code is available for exploration.

Click here for the repo

A collaborative university course project initiated with a team of four but transitioned to independent work in the final stages, spanning approximately three months. The project is an interactive sports-themed chatbot designed using Python. After collaborating with a team of three, I extended the bot's capabilities, enabling multilingual conversations, translation of phrases, explanations sourced from Wikipedia, and reporting of sports statistics.

Please note: The project is configured in a specific manner and may require further investigation for successful execution

Click here for the repo