cv

This is my CV. You can also download it as a PDF.

Basics

Name Keyu He
Label Student, Undergraduate Researcher
Email frankhe@usc.edu
Phone (213) 713-2973
Url https://keyu-he.github.io/
Summary Undergraduate double major in Computer Science and Applied & Computational Mathematics with a minor in Artificial Intelligence Applications. Passionate about explainable NLP systems, interpretable machine learning, and cross-disciplinary AI research.

Education

  • 2021.08 - 2025.05

    Los Angeles, CA

    Bachelor's
    University of Southern California
    Computer Science and Applied & Computational Mathematics
    • Language Models in Natural Language Processing (A)
    • Applied Machine Learning for Natural Language Processing (A)
    • Introduction to Machine Learning (A)
    • Applications of Machine Learning (A)
    • Professional C++ (A)
    • Introduction to Artificial Intelligence (A)
    • Applied Neural Networks (A)
    • Introduction to Data Analysis (A)
    • Introduction to Computer Systems (A)
    • Introduction to Embedded Systems (A)
    • Introduction to Internetworking (A)
    • Data Structure and Object-Oriented Design (A)
    • Introduction to Algorithms and the Theory of Computing (A-)
    • Linear Algebra and Differential Equations (A)
    • Probability Theory (A)
    • Mathematical Statistics (A)
    • Numerical Methods (A)

Publications

Projects

  • 2024.03 - 2024.04
    LLM Prompt Recovery
    Developed a system to recover user prompts using fine-tuned Mixtral models, achieving top 3.4% in a Kaggle competition.
    • Achieved a score of 0.65 using sentence-T5-base and sharpened cosine similarity.
    • Ranked 75/2175 globally in the Kaggle competition.
    • Published fine-tuned model on Kaggle for broader access.
  • 2024.11 - 2024.12
    AI-Based Career Advisor
    Built an AI tool to assist users in planning career paths based on skills and interests.
    • Developed a Streamlit-based interactive UI integrating GPT-4o for job suggestions.
    • Implemented cosine similarity search for skill-job matching.
    • Integrated Bing AI for real-time job application link retrieval.
  • 2023.08 - 2023.11
    Enhancing Debugging Skills of LLMs with Prompt Engineering
    Improved LLM debugging capabilities through advanced prompt engineering techniques.
    • Experimented with various prompting strategies to enhance debugging efficiency.
    • Achieved significant improvements in LLM performance on debugging tasks.
  • 2023.09 - 2023.12
    Automated Hate Speech Detection in Social Media
    Developed an advanced ML model for detecting hate speech, achieving 94% accuracy.
    • Fine-tuned BERT for classification tasks.
    • Enhanced online safety and inclusivity through robust model optimization.

Skills

Programming
C++
Python
Java
MySQL
HTML
CSS
JS
Software
LaTeX
Mathematica
Matlab
Languages
Mandarin (native)
English (professional)

Awards