Phoenix's Portfolio

I am current third year undergraduate student studying Computer Science and Applied Mathematics at University of California, Berkeley. I consider myself an avid learner, passionate about understanding new things and constantly challenging myself, hoping to expand my perspective on the world. Some of my hobbies include problem-solving, basketball, music, art, fashion, culinary art, or just trying something new.

Here are some of my strongest skills I've gained so far in my academic & professional experiences.

• Java
• Python
• C
• RISC-V Assembly
• HTML
• CSS
• JavaScript
• SQL
• git
• Complex Problem Solving
• Team Communication
• PyTorch
• Keras
• Tensorflow
• Abstract Linear Algebra+
• Mulivariable Calculus+
• Research Analysis
• Technical Writing
• Microsoft Suite
• Vertex AI

These tools were taught and honed over the span of my experience as an ML Engineer Intern at Mentia Inc., a tutor/mentor the Career for Access to Engineering Excellence (CAEE) at UC Berkeley, a private tutor throughout the Southern California region and a Computer Science/Mathematics student at University of California, Berkeley.

These are some of the various projects I've worked on as of late.

Assist People Living with Dementia through Machine Learning

Tasked with designing and developing an ML system to "predict" early signs/symptoms of Dementia through an interactive game for people living with Dementia called DevaWorld. An ongoing project that goes through the whole ML life-cycle— from data collection, to model building, to training, and testing the model. Currently on the data gathering and preparation of the process. Used Vertex AI, Kaggle, and Google Colab services to test various models and parse/clean raw data.

Build Your Own World (CS61B: The Game)

Tasked with implementing my own custom 2D video game in Java during my Data Structures & Algorithms course. Uses A* to generate random hallways and rooms based on seed input.

Classify Digits with Neural Networks

Developed a matrix multiplication function in RISC-V assembly code with integrated file operations to support a Neural Network for classifying handwritten digit images.

ML Movie Recommender

Self-project using Python, scikit-learn, pandas, numpy. Recommends movies based on the user's input. Motivated in order to improve my ML skills in terms of data extraction/manipulation, choosing the optimal measure for the model, and model building. The dataset credited here.

JoJo Reference Finder Google Extension

A self-project Google Extension that checks for words that correlate to the Japanese manga series JoJo's Bizarre Adventure. Helped with improving my front-end skills in HTML, CSS, and JavaScript, as well as using Chrome's storage API. You can see the code and even try out the Google Extension here!

If you have any questions, please feel free to contact me here.