Yuta Kanzawa
Data Scientist
Tokyo, Japan
Summary
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RockstarYuta Kanzawa is a Tokyo-based Data Scientist with seven years of experience applying machine learning to real-world problems at Zurich Insurance Japan. He blends production-focused engineering with research-minded experimentation, contributing open-source ML work such as integrating PSGAN style-transfer and ONNX face-parsing into the ailia-models collection. Comfortable with end-to-end model deployment and video-frame processing, he pays attention to practical details like data types, prediction inputs, and color conversions that keep prototypes running reliably in production. His profile combines enterprise analytics experience with hands-on contributions to widely used AI model toolkits, signaling a practitioner who moves ideas into deployable systems.
7 years of coding experience
French, Japanese, German, English
Github Skills (12)
computer-vision10
deep-learning10
onnx10
python10
style-transfer10
image-processing9
neural-network9
integrate8
face-detection8
integrations8
data-integration8
tensorflow6
Programming languages (3)
Github contributions (5)
axinc-ai/ailia-models
Nov 2020 - Feb 2022
The collection of pre-trained, state-of-the-art AI models for ailia SDK
Role in this project:
ML Engineer
ML EngineerContributions:2 reviews, 50 commits, 7 PRs in 1 year 3 months
Contributions summary:Yuta primarily contributed to integrating and modifying a style transfer model (PSGAN) within the ailia-models repository. Their work included adding the PSGAN model, incorporating an ONNX version of a face parser for mask generation, and updating video processing functionalities within the PSGAN implementation. The user also made adjustments to data types, prediction inputs, and color conversion related to video frame processing.
image-segmentationface-recognitionhand-detectionstate-of-the-artimage-classification
ytknzw/optuna
Aug 2020 - Nov 2020
A hyperparameter optimization framework
Contributions:197 pushes, 20 branches in 2 months
optimization-frameworkhyperparameteroptimizationmachine-learningoptuna
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