Isamu Isozaki
Machine Learning Engineer at Kulicke and Soffa Industries Inc
Philadelphia, Pennsylvania, United States
Summary
👤
Senior🎓
Top SchoolIsamu Isozaki is a Machine Learning Engineer based in Philadelphia with 9 years of practical experience building production-grade ML and full-stack systems while earning a 3.98 CS degree from Drexel. He has shipped high-performance computer vision and anomaly-detection pipelines (including an OpenVINO/C++ deployment 50x faster than commercial alternatives) and led active-learning and data-augmentation efforts that dramatically reduced labeling needs. His research-to-product work includes upgrading GAN-based inpainting to state-of-the-art diffusion models and contributing to the popular Hugging Face diffusers repo—adding textual inversion, multi-token training, memory optimizations, and RDM/VQGAN integrations. Comfortable across backend, cloud, and robotics stacks, he also built real-world services with Kubernetes, Flask, and MySQL and prototypes ranging from diffusion-generated images to a walking robot. Isamu combines a strong academic record with a maker’s instinct: if he can imagine a system, he can architect, train, and deploy it end-to-end.
9 years of coding experience
3 years of employment as a software developer
Bachelor's degree, Computer Science, 3.98, Bachelor's degree, Computer Science, 3.98 at Drexel UniversityNanodegree, Front-end Web Development, Nanodegree, Front-end Web Development at Udacity
Stackoverflow
175reputation
6kreached
1answer
4questions
Github Skills (19)
transformers10
pytorch10
inversion10
python10
diffusion-models10
machine-learning10
stable-diffusion10
textual10
deep-learning10
image-generation10
nlp8
computer-vision6
html6
image-registration6
tensorflow6
Programming languages (8)
Github contributions (5)
huggingface/diffusers
Sep 2022 - Sep 2022
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch and FLAX.
Role in this project:
ML Engineer
ML EngineerContributions:25 reviews, 1 commit, 27 PRs in 1 day
Contributions summary:Isamu contributed significantly to the `diffusers` repository, primarily focusing on the textual inversion training example, a technique used in diffusion models. Their work involved implementing saving mechanisms during training, fixing logging issues, and optimizing memory usage. Furthermore, the user integrated multi-token training capabilities and input perturbation for improved model performance. They have also worked on RDM (Retrieval Augmented Diffusion Models) and VQGAN related code.
pytorchartdeep-learningimage2imagestate-of-the-art
isamu-isozaki/baseline-selfplay
Nov 2019 - Jan 2021
I added selfplay functionality to openai gyms
Contributions:55 commits, 6 PRs, 48 pushes in 1 year 1 month
reinforcement-learningmachine-learningopenai
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