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.
11 years of coding experience
5 years of employment as a software developer
Master'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
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