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Dan
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
Dan
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