Paul Tang

Senior Software Engineer at U-NEXT CO., LTD.

Tokyo, Japan
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Summary

👤
Senior
🎓
Top School
Paul Tang is a Senior Software Engineer based in Tokyo with 11 years of industry experience and eight years focused on Python-driven backend and computer vision systems. He designs and operates high-availability MLOps and ETL/ELT pipelines using Kubernetes, Airflow, and GCP BigQuery, and has built production-grade CV services with OpenCV and PyTorch for recommendation and fashion applications. His background spans full-stack development, CI/CD/GitOps, serverless patterns and performance-sensitive work in Golang and C/C++, enabling him to modernize legacy architectures into scalable services. A master’s-trained bioelectronics specialist, he brings atypical domain expertise in biomedical signal and image processing to ML model development and system design. He’s pragmatic about shipping—combining hands-on model implementation with operational tooling—and enjoys exploring new tech across JavaScript, Node.js and cloud-native stacks.
code11 years of coding experience
job5 years of employment as a software developer
bookMaster's degree, Bioelectronic and Bioinformatics, 4.15/4.3, Master's degree, Bioelectronic and Bioinformatics, 4.15/4.3 at 國立臺灣大學
languagesChinese, English, Korean, Japanese
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Github Skills (77)

opencv10
python10
trading10
image-processing10
cryptocurrency10
deep-learning10
crypto10
exchange10
object-detection-api10
api10
face-recognition10
computer-vision10
bitcoin10
facial-recognition10
mobilenet10

Programming languages (7)

SmartyC++GoHTMLJupyter NotebookPythonKotlin

Github contributions (5)

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cftang0827/face_alignment

Apr 2018 - Mar 2019

Contributions:4 commits, 6 pushes, 1 branch in 10 months
Use TensorFlow object detection API and MobileNet SSDLite model to train a pedestrian detector by using VOC 2007 + 2012 dataset
Contributions:10 commits, 13 pushes, 1 branch in 2 years
mobilenetapisiamese-networkpedestriantensorflow-object-detection
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