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Master, Computer Science, UC Irvine | C++| JavaScript | ReactJS | Python | Java |
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UC Irvine
Data Scientist
June 26, 2026 – Present
chem-anime
December 25, 2019 – January 20, 2021
A gamified chemistry education project. Coded in ReactJS.
View ProjectHeart2Music
August 15, 2019 – August 15, 2019
"Heart 2 Music" is a system that can play proper and comfortable music according to the heart rate and the emotion of a person.
View ProjectIMDB-Reviews
August 15, 2019 – August 15, 2019
Excercise several machine learning models by addressing the IMDB reviews dataset: https://ai.stanford.edu/~amaas/data/sentiment/
View ProjectQuick-Draw-Doodle-Recognition-Challenge
January 26, 2019 – January 26, 2019
Quick-Draw-Doodle-Recognition-Challenge — GitHub repository
View Projectminesweeper-reactjs
November 24, 2018 – November 24, 2018
This is a classic Minesweeper game with an AI agent. You can turn on AI agent mode at any point in game, it will automatically solve the puzzle.
View ProjectCS-260P-Project1
October 28, 2018 – October 28, 2018
CS-260P-Project1 — GitHub repository
View ProjectObject-Detect
September 8, 2018 – September 8, 2018
Use SIFT and RANSAC algorithm to detect the object. Then use the recovered Homogrphymatrix to warp the object image to the picture. Done in May, 2016.
View ProjectMovie-Poster-Recognition
April 13, 2018 – April 13, 2018
An Android application which can easily get the information about movies by scanning titles on movie posters.
View ProjectMovie-Poster-Recognition
December 23, 2015 – January 7, 2016
This android app aims at recognize movie's title from common movie posters and retrieve related information from web
View ProjectCultural Fit Analysis
The candidate's projects show a diverse range of interests, from mobile app development to game AI and machine learning. However, the depth of experience in core data science technologies is limited, and the current 'Data Scientist' role at UC Irvine lacks details, making it difficult to fully assess cultural fit for a senior data scientist position. The projects are primarily personal, which indicates self-motivation but doesn't provide insight into team collaboration.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are brief, and there are no completed psychometric or English tests to provide insights into communication or work attitude.