Available to hire
Hi, I’m Xinyi Yang, a Computer Science graduate from the University of Wisconsin-Madison with a passion for game design and software development. I’ve been fortunate to work on cutting-edge projects involving e-commerce platforms, augmented reality, and AI-driven data processing.
I enjoy combining my technical skills with creativity, whether that’s through coding innovative solutions, developing interactive 3D experiences, or exploring human-computer interaction. I’m always eager to learn and contribute to meaningful projects that make an impact.
Skills
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Expert
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Intermediate
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Language
English
Fluent
Work Experience
Full Stack Developer at Olit Vape Co. Ltd
February 1, 2025 - May 31, 2025Developed a Next.js/React e-commerce platform with Prisma and PostgreSQL, catering to over 3,000 monthly users with role-based authentication. Implemented secure email-based sign-up, sign-out, password reset, and verification using NextAuth. Added tiered pricing and product variants with real-time inventory synchronization of less than 100 ms. Built an influencer and sales commission engine with referral tracking and automated payouts via an admin portal. Successfully migrated production hosting from Vercel to Alibaba Cloud resulting in 30% cost savings and 40% reduction in time-to-first-byte. Improved SEO Lighthouse score from 71 to 95 by optimizing server-side rendering, images, and meta-tags.
Undergraduate Researcher at NSF AI Institute for Edge Computing (Athena) REU Program - WiNGS Lab (UW-Madison)
June 1, 2024 - September 30, 2024Designed and implemented a 3D volumetric mapping and navigation system using Unity and C# for augmented reality lenses to assist first responders. Integrated an object recognition algorithm achieving 92% accuracy to auto-classify objects and label them on the interactive map. Utilized Unity's NavMesh SDK to create optimal navigation paths considering environmental obstacles. Developed a custom event handler to process real-time JSON data streams from remote servers for seamless AR environment updates.
Research Assistant at Wisconsin Institute for Discovery - Social Interaction Lab
May 1, 2024 - August 31, 2024Built an audio transcription pipeline that segmented 50+ hours of recordings and used OpenAI Whisper in parallel to convert audio to text, improving efficiency by 50%. Applied prompt engineering with OpenAI API to classify participant descriptions using LLMs, reducing classification time by 90% with 95% accuracy. Conducted data analysis on transcribed texts using Pandas and visualized findings with Seaborn to identify trends and support research.
Education
Bachelor of Science at University of Wisconsin-Madison
September 1, 2021 - May 31, 2025Qualifications
Industry Experience
Software & Internet, Gaming, Media & Entertainment, Education, Retail
Skills
Experience Level
Expert
Expert
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Intermediate
Intermediate
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