Terry Yang

Software Engineer @ StubHub

About

I work on AI-powered search at StubHub. Previously, I built LLM applications for SEO at TikTok. I won the Alexa Prize for my conversational AI system. My experience includes computer vision research, specifically training neural networks for amodal instance segmentation. I combine research knowledge with practical skills to solve AI challenges effectively.

Country

United States

City

New York

Industry

Computer Software

Skill

C, C++, Java, Shell Scripting, HTML, CSS, JavaScript, Linux, Microsoft Office, Microsoft Excel, Microsoft Word, C#, Python, Critical Thinking, Teamwork, Cooperative, Analytic Problem Solving, Research, Software Development, Machine Learning

Experience

Software Engineer

StubHub

2025-2 - Present · 1 yr 8 mos

New York City Metropolitan Area

Search and Discovery

Software Engineer

TikTok

2022-11 - 2025-2 · 2 yrs 4 mos

Greater Seattle Area

SEO team. Photo Mode team.

Software Development Engineer

Amazon

2019-8 - 2022-11 · 3 yrs 4 mos

Greater Seattle Area

Alexa International team.

AI Chatbot Engineer (Alexa Prize Winner)

University of California, Davis

2018-2 - 2019-6 · 1 yr 5 mos

Davis

- Won 1st place ($500,000 prize) in Alexa Prize Socialbot Grand Challenge 2 under Professor Zhou Yu. - Led team in developing state machines for multi-turn conversations with Alexa users. - Developed movie and book chat modules that became the most popular and highly rated, generating over 10,000 responses daily and accounting for 40% of our bot's overall traffic.

Computer Vision Researcher

University of California, Davis

2017-12 - 2018-9 · 10 mos

Davis

- Conducted research on improving benchmarks for amodal instance segmentation under Professor Yong Jae Lee. - Proposed an approach that combines generative adversarial networks with transfer learning on synthetic images. - Modified and trained neural network architectures including Deepmask, SharpMask, and Mask R-CNN.