Portfolio
Scrapp - Waste Classifier
- Developed an app to classify waste and eliminate confusion when disposing of items
- The user uploads an image, receives guidance on how to dispose of it, find disposal locations near them for certain items (ex. batteries, plastic bags), and chat with other community members
- Created using Next.js and a custom-trained YOLO (You Only Look Once) object detection model to provide guidance and an appealing user experience
- The app is mobile friendly (and can be viewed on screens of any size)

Independent Research Project
Authored under the mentorship of Arpit Jasapara of UCLA (a PhD Candidate), and discusses an EfficientNetB5 + ArcFace ensemble as well as several other models. These models were then used to classify individual whales and dolphins in the Happywhale dataset on Kaggle and achieved a rank in the top 11%. An ensemble of models presented in the manuscript ranked in the top 5% out of 5 thousand teams on Kaggle. After undergoing a 3-month peer review proccess, the manuscript has been published in the National High School Journal of Science.

Open Coding Society Scrum Master
Led a team of 6 during the development process of a full-stack web application using Agile Methodologies.
- Backend, created using Flask, contained Machine learning models that predicted areas in the city of San Diego that require maintenance.
- Frontend, created using Jekyll and Tailwind displayed the outputs of the machine learning models and provided an efficient yet visually pleasing interface for users.
- Created a Kanban board to organize key features and tasks during development

Served as deployment admin for a team of 6 during the development of a full-stack social media application for AP Computer Science.
- Developed a full-stack application with JWT authentication, features to gain insights on users’ interests, and a deployed backend using AWS.
- Managed user account data and information in SQL databases, and deployed a Jinja site that used session tokens for authentication.
- Used Agile Methodologies, maintained a Kanban board, a Frontend, and a Backend.
UC Irvine x Gifted and Talented Institute: Game Science Entertainment Technology
- Learned about Gaming Computer Science, Game-based learning, and Game Research
- Participated in lectures UCLA Professors and professionals
- Developed a game in a group of 4 and pitched it to potential investors
FlipGun Project and Pitch