Wayne Leung

Founder at KaseLaw

Hong Kong, China
email-iconphone-icongithub-logolinkedin-logotwitter-logostackoverflow-logofacebook-logo
Join Prog.AI to see contacts
email-iconphone-icongithub-logolinkedin-logotwitter-logostackoverflow-logofacebook-logo
Join Prog.AI to see contacts

Summary

👤
Senior
🎓
Top School
Wayne Leung is a versatile software engineer with 10 years of experience building full-stack web applications and devops-focused systems, currently improving Angular developer experience at OS-Labs via AngoraForms. He specializes in modern JavaScript (ES6+), React, Redux, Node, TypeScript, and tooling—having written a custom Webpack loader and used Babel AST transforms to generate scalable Angular component code. Wayne pairs front-end performance work (Next.js hybrid rendering) with pragmatic backend choices (Prisma, SQL/NoSQL, Vercel CI/CD) and has delivered production automation such as AWS-deployed trading systems and real-time WebSocket services. An active open-source contributor, he enhanced outpainting and upscaling workflows in a prominent Stable Diffusion WebUI project with device-agnostic optimizations and model caching, showing attention to performance and UX. With a dual background in law and finance from the University of Sydney, he brings analytical rigor and cross-disciplinary problem solving to product and infrastructure challenges.
code10 years of coding experience
job2 years of employment as a software developer
bookThe University of Sydney
github-logo-circle

Github Skills (13)

webui10
pytorch10
generative-art10
stable-diffusion10
python10
ai-image10
ai10
image-processing10
diffusers9
autoencoder9
text2image9
im9
safetensors8

Programming languages (17)

C#JavaC++CGoHTMLJupyter NotebookKotlin

Github contributions (5)

github-logo-circle
Role in this project:
userFull-stack Developer
Contributions:1 comment in 1 day
Contributions summary:Wayne primarily focused on enhancing the functionality of the outpainting feature within the Stable Diffusion WebUI Forge project. Their contributions included implementing and refining batch processing logic, improving output cropping, and addressing issues related to grid and sample output formats. They also worked on optimizing the LDSR upscaling process, including safetensors support, device agnosticism, and model caching, suggesting a focus on performance and usability improvements.
A Prometheus exporter for Tesla vehicles
Contributions:6 releases, 34 commits, 24 PRs in 5 months
prometheus-exporterprometheusteslateslamotorsexporter
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.
Request Free Trial