Student
I am a recent B.S. Computer Science graduate of the University of Hawai'i at Manoa, class of 2024. I am currently looking for a entry-level backend developer position and am open to remote work.
Interests: Software Engineering, Data Engineering, Data Science, Machine Learning, Database Management, High Performance Computing
The All of Us program is a program organized by the (United States) National Institute of Health which serves to aggregate, anonymize, and make available patient health data for research projects. Using the All of Us database, I built several classification models to predict malignancy in breast cancer patients, as well as compare differences in model performance between two differentiated dataset groups.
Python Machine Learning All of Us Program MLP SVC Random Forest Adaboost Gradient boosting models
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Working with three other of my ICS 438 classmates, we constructed a program which would parse the raw text obtained from using optical character recognition (OCR) on random consumer receipts into JSON objects using OpenAI's large language model, ChatGPT. It would then provide analytics on the JSON data and use it to train a KNN model from the FAISS library (open-sourced from Facebook AI) to classify new receipts into categories. The data from analysis would be used to create a simple visualization using Streamlit.
OpenAI ChatGPT Python Pydantic JSON Machine Learning Github Optical Character Recognition FAISS
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With three of my other classmates in ICS 484, we built a website that would calculate an individual's survival rate had they been on the Titanic when it sunk (April 1912).
HTML JavaScript R Website Design Data Science Data Visualization LPM
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Using an open-source breast cancer dataset, I built several classification models and evaluated their performance using the R programming language.
R Machine Learning Binary Classification LPM Logistic Regression LASSO Random Forest
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