Generative Ai Computer Science

Jeng Zhuang

* Columbus, OH # ******.***@***********.***.*** H +1-505-***-**** § zzzzzz123zzz

ï zizheng-zhuang-9a2226341

Summary

Computer Science undergraduate at The Ohio State University with hands-on experience in Java, Python, HTML/CSS, and Git/GitHub. Skilled in developing web applications and data-driven projects using Excel and PowerPoint for visualization. Seeking internship opportunities during academic semesters or sum- mer/winter breaks to apply technical and analytical skills. Education

The Ohio State University Aug 2024 - May 2027

B.S. in Computer and Information Science GPA: 3.81 / 4.00 Technion – Israel Institute of Technology Aug 2022 – Aug 2024 B.S. in Mechanical Engineering and Robotics GPA: 85.1 / 100 Work Experience

Technical Assistant, Technion – Israel Institute of Technology June 2024 - July 2024

Provided phone-based support and information to students and visitors regarding university programs and campus services.

Collected and organized call records to improve data tracking and communication efficiency.

Assisted with setup and maintenance of office phone and network connections, ensuring stable communi- cation systems.

Projects

Generative AI Industry Analysis — Third Prize, Industry Research Competition Jan. - May 2023

Co-authored and presented a 36-page report to a panel of industry experts, earning 3rd Prize for an in-depth analysis of the Generative AI market, trends, and key players.

Conducted a comprehensive case study of Midjourney, evaluating its business model, target user demo- graphics, and multi-channel marketing strategies.

Synthesized market data to forecast industry growth and future applications in sectors like drug discovery, and provided strategic recommendations for product differentiation. RSS Aggregator — Java, XML Parsing, HTML Automation

Built a news aggregator that parsed multiple RSS 2.0 feeds using XMLTree and generated cross-linked HTML pages with formatted tables.

Automated index page creation with hyperlinks to feed pages, ensuring a dynamic and reusable design. Cryptographic Utilities — Java, NaturalNumber API

Implemented modular arithmetic and primality testing for arbitrary-precision integers using Fermat’s Little Theorem.

Designed reusable utilities to support cryptographic computations and validated correctness via JUnit testing.

Skills

Languages: Java, Python, HTML/CSS, XML, C++, SQL. Fluent in Mandarin and English. Tools: Git, GitHub, JUnit, VS Code, Eclipse

Last updated: October 6, 2025

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