Hong-yu Chiu
Senior Deep Learning Engineer at NVIDIA
New Taipei, Taiwan
Summary
👤
Senior🎓
Top SchoolHong-yu Chiu is a senior deep learning engineer based in New Taipei, Taiwan, with nine years of experience building and deploying AI-powered computer vision and image processing systems. Currently at NVIDIA and serving as a Google Developer Expert for AI, he blends hands-on model development with open-source leadership, contributing extensively to Keras, KerasCV, and KerasNLP—amounting to over 100 PRs and core library enhancements like image operations and optimizers including Lion. He advocates practical quantization and efficient inference, collaborating with NVIDIA to bring float8 training and inference to fruition, and implementing int8 quantization and QLoRA for the Gemma model, while also contributing to Keras documentation and tutorials that showcase advanced techniques such as LoRA/QLoRA fine-tuning and stable diffusion workflows. His GitHub work spans cutting-edge ML techniques—from float8 and LoRA to latent space exploration in Stable Diffusion 3—and his career includes roles at Himax (depth estimation and image processing) and Garmin (Prometheus-backed AI monitoring). He holds a Master of Engineering in Electrical and Electronics Engineering from National Chiao Tung University with a near-perfect GPA, alongside a BE and even a biology degree, reflecting a versatile, interdisciplinary foundation. Based in Taiwan, he combines deep technical depth with a passion for open source and collaborative engineering, continuously shipping practical, scalable AI solutions.
9 years of coding experience
1 year of employment as a software developer
Master of Engineering - MEng, Electrical and Electronics Engineering, GPA: 4.19/4.3, Master of Engineering - MEng, Electrical and Electronics Engineering, GPA: 4.19/4.3 at National Chiao Tung UniversityBachelor's degree, Biology/Biological Sciences, General, Bachelor's degree, Biology/Biological Sciences, General at National Yang Ming University
Github Skills (15)
keras10
tensorflow210
machine-learning10
pytorch10
deep-learning10
tensorflow10
python10
image-processing10
optimization9
neural-networks9
optimizations9
jax8
natural-language-processing7
image-generation7
nlp7
Programming languages (4)
Github contributions (5)
keras-team/keras
Jan 2023 - Mar 2025
Deep Learning for humans
Role in this project:
ML Engineer
ML EngineerContributions:162 reviews, 178 PRs, 367 comments in 2 years 2 months
Contributions summary:Hong-yu contributed significantly to the core functionality of the Keras deep learning library, with a focus on image-related operations and optimization. They implemented the `affine_transform` operation, which is a core component for image manipulation. The user also refactored code, improved documentation, and fixed bugs across the repository. Furthermore, they contributed by introducing the Lion optimizer and improving the quality and accuracy of existing tools and functions.
pythondata-sciencedeep-learningneural-networksmachine-learning
keras-team/keras-io
May 2024 - Dec 2024
Keras documentation, hosted live at keras.io
Role in this project:ML Engineer
ML EngineerContributions:15 reviews, 8 PRs, 21 comments in 7 months
Contributions summary:Hong-yu primarily contributes to the Keras documentation, including examples demonstrating float8 training and inference, and LoRA/QLoRA fine-tuning. They develop and implement examples related to Stable Diffusion 3, including text-to-image generation and latent space exploration techniques. Their contributions showcase a focus on advanced machine learning techniques and model implementation within the Keras ecosystem.
deep-learninghostedmachine-learningtensorflowkeras
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