Resume

Education

University of California, Berkeley — B.A. in Computer Science and Applied Mathematics, Minor in Data Science; GPA: 3.97
Berkeley, CA | August 2022 – May 2026

Northwood High School — GPA: 4.28
Irvine, CA | August 2018 – June 2022

Experience

Undergraduate Course Staff — UC Berkeley
Berkeley, CA | August 2023 – Present

• Lead Teaching Assistant for CS 188 (AI), DATA 100, and DATA C8.
  
• Created assignments, discussion materials, maintained course website, and led office hours.

Undergraduate Research Assistant / Mentor — UC Berkeley, Algoverse
Berkeley, CA | August 2023 – Present

• Cross-Platform SQL Rewrite Optimization: Generalized rewrite rules for SQL optimization across distributed database platforms (Apache Calcite, CockroachDB).
  
• Forecasting Adversarial Multi-Agent Behavior: Built real-time chain-of-thought (CoT) prompting system using multimodal LLMs to predict crowd behavior from video.
  
• Ontology-Guided Detection of Semantic Leakage: Developed ontology-based method to detect errors in CoT reasoning, improving AI interpretability.
  
• Empirical Analysis of FDA Citizen Petitions: Collected and analyzed 20 GB of petitions to evaluate FDA responsiveness.
  
• Human Strategy Updating via Peer Advice: Modeled human strategy updates using inverse reinforcement learning and random forest classification.
  
• AI for Pancreatic Cancer Detection: Built ML models to predict pancreatic cancer from clinical datasets.

Applied AI Engineer Intern — Power Meta Corp.
Irvine, CA | May 2024 – July 2024

• Applied AI-driven resource allocation and optimization in decentralized GPU grid computing for blockchain.
  
• Integrated machine learning methods to improve blockchain model efficiency and scalability.

Projects

BearCourseHub — Swift, SwiftUI, Firebase | August 2023 – December 2023

• Developed an iOS app delivering curated course information and customizable features to enhance UC Berkeley students’ experience.

Course Projects — Java, Python | March 2023 – Present

• Built a simple database from scratch including B+ trees, join algorithms, and query optimization.
  
• Built a traceroute tool in Python to analyze network paths and latency.
  
• Built a neural network from scratch with convolutional, batch normalization, and pooling layers.
  
• Developed a 2D tile-based procedural world exploration engine enabling user interaction.

Other

• Relevant Coursework: Machine Learning (A+), Artificial Intelligence (A+), Database Systems (A), Introduction to Internet (A+), Probability for Data Science (A+), Computer Architecture (A+), DATA 100 (A+), Numerical Analysis (A+), Computer Vision, NLP, Data Mining, Agentic AI
  
• Awards and Honors: Dean’s List, Honors to Date, EECS Honors
• Programming Languages: Java, Python, C, SQL, Swift, SwiftUI, RISC-V, R, Javascript
  
• Developer Tools: Git, VS Code, PyCharm, RStudio, IntelliJ, MongoDB
  
• Libraries: pandas, NumPy, Matplotlib, seaborn, PyTorch, Tidyverse, scikit, Otter
  
• Languages: Native Chinese