About Me
Hello, my name is Giorgio Tran. I am a graduate student pursuing a Master's in Computer Science at the University of Hawaii at Manoa. I expect to graduate in Fall 2024. Outside of academia and coding, you can find me brewing coffee, playing board games, or hiking.
Awards 🏆
- HACC 2023 3rd Place
- HACC 2022 2nd Place
Technologies
- Javascript
- Typescript
- React
- HTML
- CSS
- Python
- MongoDB
- Java
- Langchain
- Langgraph
Experience
- UH Manoa - Teaching Assistant
- Oceanit - SWE Intern
- LAVA - Research Assistant
Coffee I'm Currently Drinking...
La Cabra - La Union
Experience
LAVA
JAN 2024 — PRESENT
Graduate Research Assistant
At the Laboratory for Advanced Visualizations and Applications, I worked on several projects, which include SAGE3 (an AI-driven collaboration software), Articulate's frontend (natural language to charts), and lastly Sage Nodes (edge sensors with GPUs for AI at the edge).
React
Typescript
Git
Vite
Python
UH Manoa
JAN 2023 — DEC 2023
Teaching Assistant
In Spring 2023, I developed and presented material for the lab section of ICS 111: Introduction to Computer Science. In Fall 2023, as a TA for ICS 314: Software Engineering I, I created practice exercises for web development and helped students grasp key concepts and best practices.
Java
Git
Meteor
Javascript
Oceanit
JUNE 2023 — AUG 2023
Software Engineering Intern
I worked on project RIVEAL, which aims to automate and significantly improve efficiency in pipe inspections. I designed and implemented the user interface and the data storage. Additionally, I designed and developed a web application that supported over 50 users for an internal silent auction that helped raise funds for Kapiolani Health Foundation.
React
Typescript
Git
Next.js
Electron
MongoDB
Node.js
Projects
Sage Node Installation
I assisted with the installation of a Sage Node in Lahaina, Maui. Despite the challenging heat, the experience was invaluable. Under the guidance of experts from Argonne National Laboratory, I gained firsthand exposure and a deeper understanding of the hardware and software powering the Sage Node.
Wildfire Detection at the Edge
The YOLOv7 model was fine-tuned to specifically detect fire and smoke using the DFire Dataset, which comprises over 20,000 images of fire and smoke. After training, the model was deployed on a GPU-equipped edge device called a Sage Node. By processing data locally, edge devices like Sage Nodes can significantly reduce response times, which is critical in emergency situations.
Python
Pluginctl
Docker
Articulate
Articulate is a research project focused on transforming data-related questions into visual charts using a large language model-based pipeline. For this project, I developed a comprehensive charting module that includes all chart types from Abela’s Taxonomy. Additionally, I created a user-friendly frontend that enables users to upload datasets and query them for insights.
React
Typescript
Shadcn
Tailwind CSS
Echarts
3rd place finish at the 2023 Hawaii Annual Code Challenge. Makai is a web application that facilitates marine debris tracking and removal in Hawaii. It aims to help debris removal organizations save thousands of hours of labor each year through streamlined workflows and centralized communication.
React
Javascript
Git
Next.js
MongoDB
Node.js
Mapbox
Tailwind CSS
Dialogflow CX
Mejiro
October 2023 PACE Kalo Grant Awardee. Mejiro is a web application that parses receipts through optical character recognition (OCR) and generative AI, which ultimately aims to helps users track their spending patterns. This project is still ongoing.
React
Javascript
Git
Tesseract
OpenAI API
Next.js
Tailwind CSS
Oceanit Silent Auction Platform
The silent auction platform significantly contributed to raising over $1,400 in one week for the Kapiolani Health Foundation. The application had two users roles: bidders, and administrators. For bidders, the platform enables real-time bidding, bid tracking, and item searching. For administrators, it provides tools to add, edit, and remove items seamlessly.
React
Typescript
Git
MongoDB
Next.js
Tailwind CSS
DOELT
Placed 2nd out of 44 teams at the 2022 Hawaii Annual Code Challenge. The Department of Education Legislative Tracker (DOELT) is a web application that helps the DOE track and manage legislation. A scraper was built to obtain up to date and accurate information about ongoing legislation, and a user friendly interface was developed for the DOE to stay up to date with the latest legislation.
React
Javascript
Git
Meteor
MongoDB
Cheerio
Node.js
Express
OSMICS
A web application designed to help the University of Hawaii at Manoa's Information and Computer Science department with office space management. This includes tracking office space usage, assets in each office, and booking conference rooms.
React
Javascript
Git
Meteor
MongoDB
Cloudinary
