Resume

Hello! I'm

Brian Cha

Computer science student at Harvey Mudd College
About Me
Programming Languages

Programming Languages

Python, C++, C, Java, R, Haskell, Prolog, Racket, HTML, CSS

Technical Skills

Software Development, Machine Learning, Computer Vision, Neural Networks, Object-Oriented Programming, Functional Programming, Natural Language Processing, Data Science, Web Development

Software I have used

Software I have used

Linux, OpenCV, NumPy, Matplotlib, Pandas, PyTorch, Scikit-learn, Git, Snakemake, PyQt, LaTeX, Excel

About

A Quick Overview

I am a junior at Harvey Mudd College who is pursuing a Bachelor's Degree in Computer Science. I am also concentrating in Economics. I am expected to graduate in May 2025.

GPA: 3.857; Dean's List: Spring 2022 - Present

I am currently looking for an internship or research position in the field of Computer Science. I thrive in collaborative environments, valuing effective communication and teamwork. I am excited about the possibility of working with a dynamic team where I can contribute my enthusiasm and dedication to create innovative solutions!

Portfolio

My Current and Past Projects

Ant Tracking Research Lab

View the GitHub repo

Used computer vision, machine learning and data analysis to discover where and how ants create transportation networks.
Utilized techniques such as multiple-object tracking and Kalman Filtering to accurately track entire ant colonies.

Lab for CATS

View the organization website

Develop Computer Vision course materials that can be used in future offerings of Computer Vision at Harvey Mudd College.
Utilize OpenCV and PyTorch to develop code that demonstrates the underlying concepts of visual processing.

NBA Sports Betting Model

View the GitHub repo

Created a sophisticated ML model that allowed users to maximize their returns for NBA betting.
Employed linear regression models, APIs, and web-scraping to save, analyze, and interpret data.

College Recommendation System

View the GitHub repo

Created an algorithm that helps people narrow their college search by college culture and academic statistics.
Collected data via automated web scraping and API calls.
Used sentiment analysis to create a college profile for each college.

MuddSub Computer Vision Team

View the Organization Website

Utilized computer vision to manipulate photos to create more training data for machine learning models.
Built a GUI using PyQt and Qt Designer to test object detection algorithms for RoboSub.

Quantifying Culinary YouTube

View the GitHub repo

Built an ML-based method to quantize how audiences react to culinary videos.
Utilized Natural Language Processing and Computer Vision models to analyze social media channel content.

Let's talk!

Open my contact form in a new tab.

Brian Cha

Student at Harvey Mudd College