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General Information

Full Name Zhaodong Kang
Date of Birth 1st November 2003
Languages English, Chinese

Education

  • May 2024
    B.S. in Computer Science
    Georgia Insititute of Technology
    • GPA: 4.0/4.0
    • Awards: Faculty Honors
    • Engagements: College of Computing Peer Mentor, HackGT Hackathon, GT Trailblazers, Chinese Student Scholar Association
  • Jul 2020
    Early College Scholar
    Washington University in St. Louis
    • Grade: A+
    • Course: Design Thinking: Human-Centered Approaches to Making the World (3 credits)
    • Project: Worked with a group of 3 creating a cooking system prototype for teaching beginner cooks during the pandemic

Course Wrok

  • Fall 2024 - Introduction to Perception and Robotics, Statistics and Applications, Applied Combinatorics, Computing, Society, and Professionalism
  • Spring 2023 - Design & Analysis-Algorithms, Objects and Design, Introduction to Artificial Intelligence, General Psychology
  • Fall 2022 - Intro to Database Systems, Intro to Computer Vision, Machine Learning, Systems and Networks, Intro Multivariable Calculus
  • Spring 2022 - Data Structure & Algorithms, Computer Organization & Programming, Honors Discrete Math CS
  • Fall 2021 - Intro to Object Orienting Programming, Linear Algebra

Experience

  • 2023/06 - 2023/08
    Software Engineer Intern | Summer Analyst in Global Technology
    Bank of America | Charlotte, NC
    • Automated Federal Reserve reports generation processes by integrating Oracle DB and internal UI framework using Python, resulting in a 15x efficiency enhancement, and reducing potential user-induced errors with validation checks.
    • Designed technical implementation and user interface by synthesizing customer usage pattern investigation, code compatibility with existing codebase, and potential user consultations.
  • 2022/01 - 2023/05
    Automatic Algorithm Design Team Member (Vertically Integrated Project)
    Georgia Tech Research Institute | Atlanta, GA
    • Participated in bootcamp to learn Genetic Algorithms, Genetic Programming, Machine Learning, DEAP (Distributed Evolutionary Algorithms in Python), and EMADE (Evolutionary Multi-objective Algorithm Design Engine)
    • Led a group of 4 to achieve the co-dominant solutions and find the Pareto front using different ML models, Multi-Objective Genetic Programing, and EMADE on predicting the survival on Titanic, with the Accuracy Score of 86.59% and True Positive Rate 88.03%
    • Joined image processing sub-team working with 2 students to preprocess 49,466 images for testing the Evolutionary Model.
    • Documented legibility, intelligible, and technical meeting notes with MediaWiki to track labs
  • 2022/08 - 2023/01
    Undergraduate Research Assistant
    Ubicomp Health Lab @ Georgia Tech | Atlanta, GA
    • Conducted research with Dr. Rosa Arriaga about Human-Computer Interaction in Ubicomp Health Lab, focusing on building the Diabetic Ulcer Computational Sensing System for diabetes patients and clinicians that is usable and useful
    • Working with a group of 9 on designing and developing the system with React Native, reviewing related literatures, and participating weekly meetings
  • 2022/06 - 2022/07
    Teaching Assistant
    TestDaily (Educational Company) | Remote
    • Assisted in teaching Data Structure for incoming college students, covering Java Basics, LinkedList, BST, Heap, AVL, Hashtable
    • Held weekly two-hour-long recitation for students to reinforce contents and be graded 5 out of 5 by students at the end of the course
    • Answered students' questions and helped them in debugging and coding to improve their programming skills

Projects

  • 2022
    Restaurant Supply Express
    • Worked with a team of 4 to draw the Enhanced Entity Relationship Diagram (EERD), create the physical database schema, and implement views and stored procedures in MySQL based on the restaurant delivery scenario description and initial dataset
    • Implemented the backend, including the MyBatis, POJO, and API, for a final full-fledged website applicationxw
  • 2022
    Facial Emotion Recognition
    • Led a team of 5 to train & test machine learning models on human facial emotion recognition task in Python and Jupyter notebook
    • Preprocessed the images with Principal component analysis (PCA) to improve algorithm efficiency and minimize information loss
    • Fine-tuned and compared the result of 9 different model, including ResNet, AlexNet, Random Forest, SVM, Neural net, etc.

Honors and Awards

Volunteering

  • 2019 - 2021
    Member
    Asian Liver Center @ Stanford University
    • Completed an online course about hepatitis, accomplished presentation, and recorded videos during the COVID-19 showing an overview of hepatitis B to introduce the route of transmission, the prevention methods, and elimination the discrimination to patients (Qingqing Scholarship Program)
    • Selected as 1 of 100 exceptional students worldwide, attended an associated Youth Leadership Conference, worked with 9 global students to design a virtual campaign about hepatitis B, and presented ideas to experts at Stanford University
  • 2022
    Participant
    OSPA (Overseas Students Philanthropy Actions)
    • Designed a questionnaire for rural education teachers with multiple rounds of trial and revision, which was designed based on the principles of validity, simplicity, user-friendliness, science, and innovation.
    • Collected over 350 sets of data through the questionnaire to lay the groundwork for the compilation of a white paper on rural education in China
    • Analyzed for reliability and validity of the questionnaire to avoid inducing subjects and filtered intrusive data and outliers

Other Interests

  • Hobbies: hiking, music, food, etc.