Dan

[email protected]

Data engineer/scientist with over 5 years of expertise, specializing in Computer Vision and LLM within Deep Learning. 

Work Experience

Data Engineer / Scientist  |  H2 inc.

Dec 2021 - Apr 2024  |  Taipei, Taiwan

  • Orchestrated AI model training, monitoring, and re-training system deployment.

  • Streamlined the AI model training process and reduced training time by 40%, resulting in faster time-to-market for AI-driven products.

  • Implemented a comprehensive labeling strategy, leading a team of 3 members to ensure adherence to labeling rules, resulting in a 30% improvement in data accuracy and a 20% reduction in labeling turnaround time.

  • Researched and integrated LLM models into existing product functionalities to enhance performance and user experience.

  • Created 2 ETL pipelines with Dagster to generate aggregated tables for comprehensive monitoring.

  • Collaboratively developed and maintained 8+ weekly/monthly data analysis reports for 3 distinct teams.

  • Optimized the monthly data reports and ETL pipelines by reducing around 30% computing time.

  • Ingested data from disparate data sources using a combination of SQL, Google big query, AWS S3 bucket with Python.

AI Engineer  |  Linkou Chang Gung Hospital AI CORE LAB

Jun 2019 - Mar 2021  |  Taoyuan, Taiwan

  • Authored an AI medical paper on corneal ulcer detection using Resnet, DenseNet, Inception_V3, and EfficientNet models, achieving 80% accuracy, enhanced 14% compared to doctors' diagnosis.

  • Achieved 93% accuracy in Pterygium disease classification using 6 CNN models and various data augmentation techniques.

Education

National Tsing Hua University

Power Mechanical of Engineering  |  Jul 2014 - Sep 2018

  • Built a solid foundation for complex engineering challenges.

Involvement

YEF Delegate

A start-up contest  |  Jul 2014 - Sep 2018

  • Distinguished myself further by becoming one of the final 17 delegates, underscoring my ability to stand out and excel in challenging environments.

  • Conducted strategic on-site visits to 16 distinguished companies, startups, and organizations, including industry leaders such as Amazon, Zoom, and Google.

Skills

  • Languages: Python, SQL, Bash-Shell script, C/C++

  • Software: Pytorch, Tensorflow, Docker, Git, Airflow, Dagster, AWS, DVC, Flask

  • Technical Skills: Data Modeling, Custom ETL Development, Data Analysis, System Resource Analysis, AWS IaaS

Languages

  • Chinese - Native

  • English - Professional

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