Tan
Research Associate
Singapore
Summary
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RockstarTan is a research-oriented software engineer and CS Ph.D. candidate based in Singapore with six years of experience at Nanyang Technological University, where he applies data mining and machine learning to research problems. He combines strong back-end development skills with practical contributions to open-source AI tooling, notably enhancing a MultiDiffusion upscaler and VAE optimization scripts for tiled image processing and memory-efficient Stable Diffusion integration. Comfortable bridging research and engineering, Tan focuses on algorithmic implementation, sampler design, and systems-level optimizations that make large models more usable in constrained environments. His work reveals a knack for pragmatic engineering—improving performance and integration rather than only exploring novel models—and reflects deep familiarity with production-oriented ML workflows.
6 years of coding experience
Github Skills (6)
webui10
pytorch10
stable-diffusion10
image-generation10
python10
image-processing10
Programming languages (6)
Github contributions (5)
pkuliyi2015/multidiffusion-upscaler-for-automatic1111
Mar 2023 - Mar 2023
Tiled Diffusion and VAE optimize, licensed under CC BY-NC-SA 4.0
Role in this project:
Back-end Developer
Back-end DeveloperContributions:2 reviews, 88 commits, 11 PRs in 17 days
Contributions summary:Tan uploaded a script for the MultiDiffusion Upscaler, which includes a custom DDIM sampler implementation. They also uploaded and modified VAE optimization scripts for image encoding and decoding, particularly focusing on tiled processing. Further contributions included adjustments to memory management and tile size settings within the VAE scripts and the main MultiDiffusion upscaler, enhancing their integration with Stable Diffusion WebUI.
image-generationlarge-imagemultidiffusionstable-diffusionstable-diffusion-webui
why2332742172/PlayerSlotAPI
Feb 2022 - Mar 2022
Contributions:23 commits, 18 pushes in 20 days
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