UW-Madison Computer Science and Data Science student focused on AI engineering, backend systems, data pipelines, developer tools, and open-source software.
UW-Madison CS + Data ScienceAI Engineering + Backend SystemsOpen to 2026 SWE/AI Internships
William Kang, also known as Ching-Wei Kang, is a University of Wisconsin-Madison undergraduate pursuing Computer Science and Data Science with a May 2027 expected graduation date.
He builds AI products, backend systems, data workflows, and developer tools with TypeScript, Python, Node.js, React, PostgreSQL, and cloud deployment workflows.
Snapshot
School: University of Wisconsin-Madison
Degree: BS Computer Science + BS Data Science
Expected graduation: May 2027
GPA: 3.91
Focus: AI engineering, backend systems, data pipelines
Maintenance Technician - University of Wisconsin-Madison
May 2025 - Aug 2025 - Madison, WI
Research Assistant - China Association for Science and Technology
Dec 2024 - Feb 2025
Supported a national-level research project on talent allocation mechanisms for key strategic technologies through data collection, policy comparison, and report drafting.
Data Collection and Entry - The Marcus Harris Foundation
Oct 2024 - Dec 2024 - United States
Built Python automation for IRS nonprofit data collection and processed large volumes into a structured grants database.
Data Analyst and Automation Intern - Springer Capital
Aug 2024 - Oct 2024 - Chicago, IL
Collected and analyzed data using Excel, SQL, and Python, then delivered process improvements through automation and reporting.
Data Analyst - Chihuo Inc
Jun 2024 - Sep 2024
Conducted North American Asian dining market research and delivered data-backed insights using Python and Excel.
Open Source
William Kang has authored merged pull requests across GitHub Docs, Docker CLI, NVIDIA NemoClaw, and other public repositories, with work reviewed through maintainer workflows and CI.
Selected engineering projects include badminton computer vision tracking, Mario reinforcement learning experiments, TableUs restaurant discovery, and a brain-computer-interface MVP.