Asher Chan
Senior Managing Director at DataStay
Singapore, Singapore
Summary
🤩
Rockstar🎓
Top SchoolAsher Chan is a Singapore-based technology executive and AI algorithm engineer with eight years of hands-on experience building and deploying machine learning solutions. As Senior Managing Director at DataStay and former Director at Singapore Polytechnic, he blends strategic leadership with practical engineering, overseeing projects from data pipelines to model deployment. His open-source contributions to AnimeGAN and AnimeGANv2 show concrete expertise in GAN architectures, video-to-anime pipelines, and model conversion (including ONNX), highlighting an uncommon mix of research-minded ML work and production-focused tooling. Comfortable operating at both the C-suite and code level, he repeatedly bridges governance, education, and implementation to move ML research into usable products.
8 years of coding experience
7 years of employment as a software developer
Singapore PolytechnicNanyang Technological University Singapore
Github Skills (13)
neural-network10
computer-vision10
machine-learning10
tensorflow10
onnx10
python10
image-processing9
video-processing9
data-loading8
data-handling8
data-processing8
dataloader8
load-data8
Programming languages (6)
Github contributions (5)
TachibanaYoshino/AnimeGAN
Jul 2019 - Aug 2022
A Tensorflow implementation of AnimeGAN for fast photo animation ! This is the Open source of the paper 「AnimeGAN: a novel lightweight GAN for photo animation」, which uses the GAN framwork to transform real-world photos into anime images.
Role in this project:
ML Engineer
ML EngineerContributions:4 releases, 102 commits, 1 PR in 3 years 1 month
Contributions summary:Asher contributed to the AnimeGAN project by updating core Python scripts and modifying the neural network architecture. These changes included updating the main training script, modifying the generator network, and adding code to compute FLOPs, demonstrating an understanding of model training and evaluation. Further contributions included modifications to data loading and video conversion, suggesting a focus on the overall pipeline from data preparation to output generation.
pytorchanimegananimationtransformdeep-learning
TachibanaYoshino/AnimeGANv2
Nov 2021 - Aug 2022
[Open Source]. The improved version of AnimeGAN. Landscape photos/videos to anime
Role in this project:ML Engineer
ML EngineerContributions:4 releases, 12 commits, 55 pushes in 8 months
Contributions summary:Asher primarily focused on updating scripts related to model conversion and video processing within the AnimeGANv2 project. They modified the `AnimeGANv2.py` file, likely to update model training and evaluation, the `video2anime.py` file to address issues with video conversion, and added a new script `test_by_onnx.py` to facilitate testing of ONNX models. Their contributions appear aimed at improving model deployment, video processing, and overall project functionality.
photosanimeganimprovedtensorflow-gpuvideos
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