Harold Ye's Site
Hello, I am Harold Ye!
你好，我是Harold！
こんにちわ 私は叶です
Introduction
Hello! My name is Harold. Full stack developer, CS & DS undergraduate at UW-Madison, Former Dell intern; creator & member of WiscWebGroup. I know full-stack development, algorithms, data processing, machine learning, statistics, and computer networks. I also know a little bit about information security and computer graphics. My favorite language is Java. I also like Python and R.
Education
University of Wisconsin - Madison
Major: Computer Science, BS
GPA: 4.0
Time: 2020-2023
University of Wisconsin - Madison
Major: Data Science, BS
GPA: 4.0
Time: 2020-2023
Skills
Experiences
Dell Technologies
Software Engineer
Hopkinton, MA, USA
Feb 2024
Dell Technologies
Software Engineer Intern at VMax (Full Time)
Round Rock, TX, USA
May 2023 - Aug 2023
Dell Technologies
Software Engineer Intern at Apex Engineering (Full Time)
Round Rock, TX, USA
June 2022 - Aug 2022
UW - Madison
Carla Undergraduate Researcher (Part Time)
Madison, WI, USA
Fall 2022
Ecology Analysis on Species Interaction
Researcher (Advisor Dr. David Shanafelt)
Remote
Spring 2019
For full list of experiences, access my resume
Projects
Chinese Poetry Collection
Data Analyst; Full Stack Developer
I helped to sort the different poetries from various collections and created a database for 10 classical Chinese poetry collections. I also built the visualization part in the web.
Photoly
Full Stack Developer, Designer
Photoly is a fabulous picture host application.
ShareMe
Full Stack Developer
ShareMe Is a light-weight platform designed to help you share your files, URLs, notes, and thoughts.
EchoQ
Backend & Database Developer
EchoQ is a beautiful anonymous question box.
Java Web IDE
Full Stack Developer
Java Web IDE is an online editor and executor for Java developers, supporting writing normal Java, Maven, and Spring programs
For other projects, access GitHub
Honors
Graduated with Distinction
Dec, 2023
Distinctive Scholastic Achievement
Dec, 2023
Dean's List
Sep, 2020 to Dec, 2023
Certificates
Neural Networks and Deep Learning
CMAFWPAM996C
Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
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Convolutional Neural Networks
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Structuring Machine Learning Projects
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Build Basic Generative Adversarial Networks (GANs)
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Build Better Generative Adversarial Networks (GANs)
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