Yen-Chu (蔡彥竹)'s Website

I am Yen-Chu Tsai (蔡彥竹). I study computer science at National Taiwan University. My dream is to live in a world less reliant on Big Tech. PDF version of my CV can be downloaded here.

Education

• 2023 -- 2027
  Department of Computer Science, National Taiwan University.

  Coursework (non-exhaustive)

  • Graph Theory with Applications
  • Deep Learning for Computer Vision
  • Computer Networks
  • Web Retrieval and Mining
  • Operating Systems
  • Foundations of Artificial Intelligence
  • Digital Systems Design and Laboratory
  • Machine Learning
  • Linear Algebra
  • Algorithm Design and Analysis
  • System Programming
  • Formal Languages and Automata Theory
  • Computer Architecture
  • Data Structure and Algorithms
  • Probability
  • Calculus
  • Introduction to Computer Programming
  • Introduction to Computer

• 2025-09 -- 2025-12
  Fast Graph Algorithms Lab
  Vision & Learning Lab

Skills

• Languages: English, Mandarin Chinese

• Coding: C, Python, LaTeX, Markdown, HTML, Kotlin, Java

• Tools & Platforms: Linux, Git, Docker, Android

Employment History

• 2026-09 -- 2026-12
  Teaching Assistant, Machine Learning

• 2026-06 -- 2026-09
  Software Engineering Intern, Pixel Onboarding Team, Google

• 2025-09 -- 2025-12
  Teaching Assistant, Algorithm Design and Analysis
  Teaching Assistant, Formal Languages and Automata Theory

• 2025-07 -- 2025-08
  Summer Intern, Graph Streaming Algorithms, Academia Sinica

Projects

• Setup Wizard UX Enhancement - Intern Project at Google
  Developed an event-driven approach for sideload detection, enabling a smoother QA testing process. Incorporated a WiFi QR code scanner into network setup, reducing friction for new Android users.

• Warehouse Spatial Intelligence - [poster] - DLCV
  Developed a VQA model capable of understanding fine-grained 3D spatial relationships in warehouse environments. Achieved 92.69% accuracy on the test set, ranking second place in class amoung 14.

• Streaming bounds on the Turán problem - Research Project
  Investigated the streaming bounds on the Turán (subgraph finding) problem and found polynomial gaps between when the target graph is bipartite versus non-bipartite.

• Activity Recommendation System - Web Retrieval and Mining
  Developed a recommendation system capable of rapidly adapting to new users by leveraging LLM-augmented data for personalized activity suggestions.