Image Recognition Engineer with over 3 years of experience in computer vision and deep learning. Proficient in research and development of deep learning models for object detection, image classification, and anomaly detection. Successfully deployed image recognition models for various industries to on-premises environments, including edge devices requiring real-time processing, and implemented them in practical field operations.
Overview
3
3
years of professional experience
Work History
Image Recognition Engineer
NEC Solution Innovators, Ltd. (NEC Group)
2021.04 - Current
Led a cross-functional team of image recognition engineers, frontend developers, and backend engineers to successfully launch an application for detecting and recognizing food items in images within the set deadline
Reduced evaluation time by 30% by developing assessment tools for image recognition models
Doubled inference speed of image recognition models through optimization of pre-trained models, enabling real-time processing in on-premises environments
Improved object detection model accuracy by 10% through implementation of novel algorithms and expanded training data using semi-automated annotation, resulting in broader use cases and acquisition of new clients
Validated CI/CD implementation to streamline development of existing products incorporating image recognition models, significantly reducing testing time compared to conventional methods
Contributed to company's AI/Computer Vision initiatives by sharing internal reports on latest technologies and services in the field
Designed and developed an image recognition model for authenticating pharmaceutical images, achieving 80% accuracy with a limited dataset of only 10,000 images
Education
Master of Science - Computer Science, Speech Recognition
University of Yamanashi
Yamanashi, Japan
03.2021
Bachelor of Science - Computer Science, Speech Recognition
University of Yamanashi
Yamanashi, Japan
03.2019
Skills
Python, C/C++, Perl, MATLAB
Git, Github, Docker
Bash, Zsh
Tensorflow, Keras, Pytorch, Chainer, ONNX
Awards and Scholarship
Awarded Best Presentation for Master's Theses(2021)
Conferences Presentations
Tomoaki Hayakawa, Chee Siang Leow, Akio Kobayashi, Takehito Utsuro, and Hiromitsu Nishizaki, “Language and Speaker-Independent Feature Transformation for End-to-End Multilingual Speech Recognition,” Proceedings of INTERSPEECH2021, pp.2431-2435, 2021.8 https://www.isca-archive.org/interspeech_2021/hayakawa21_interspeech.html
Chee Siang Leow, Tomoaki Hayakawa, Hiromitsu Nishizaki, and Norihde Kitaoka, “Development of a Low-Latency and Real-Time Automatic Speech Recognition System,” Proceedings of the 2020 IEEE 9th Global Conference on Consumer Electronics (GCCE 2020), pp.464-467, 2020.10 https://ieeexplore.ieee.org/document/9291818
Languages
Japanese
Native language
English
Beginner
A1
Timeline
Image Recognition Engineer
NEC Solution Innovators, Ltd. (NEC Group)
2021.04 - Current
Master of Science - Computer Science, Speech Recognition
University of Yamanashi
Bachelor of Science - Computer Science, Speech Recognition
University of Yamanashi
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