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National Taiwan University
Avatar of Harry (Po-Jui) Chen.
Avatar of Harry (Po-Jui) Chen.
CTO @KryptoGO Co., Ltd.
2021 ~ Present
AI Software Engineer,Deep learning Engineer
Within one year
Harry (Po-Jui) Chen An Olympiad medalist having fast learning ability and great passion for solving complex problems and learning new things, with 4+ years of experience in a software start-up as full-stack engineer, data scientist and project manager.  Full-stack Engineer, Data Scientist, Project Manager Taipei, Taiwan [email protected] Education National Taiwan University, B.S., CSIE (Computer Science and Information Engineering), SepJun 2019 Doing research and industrial projects in Shou-de Lin 's MSLab for 2 years. Research area: Attention model in NLP & Few shot object detection in Computer
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ASP.NET
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National Taiwan University
Computer Science and Information Engineering

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Definition of Reputation Credits

Technical Skills
Specialized knowledge and expertise within the profession (e.g. familiar with SEO and use of related tools).
Problem-Solving
Ability to identify, analyze, and prepare solutions to problems.
Adaptability
Ability to navigate unexpected situations; and keep up with shifting priorities, projects, clients, and technology.
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More than one year
AI project coordinator
Logo of TSMC.
TSMC
2020 ~ Present
Hsinchu County, Taiwan
Professional Background
Current status
Unemployed
Job Search Progress
Professions
Data Scientist
Fields of Employment
Manufacturing
Work experience
6-10 years
Management
I've had experience in managing 1-5 people
Skills
Word
Google Drive
Excel
PowerPoint
Python
machine learning
Matlab
JAVA
c#
Project Management
Cross Functional Communications
AWS
Languages
English
Fluent
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雲端工程師,雲端架構師
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Full-time
Locations
New Zealand, Australia
Remote
Interested in working remotely
Freelance
Yes, I freelance in my spare time
Educations
School
National Taiwan University
Major
Industrial Engineering
Print

Hsien-Chiang (John) Chiu

I'm an IT graduate student at the University of Auckland and major in hybrid-cloud application research. Was a senior data scientist with over nine years of experience in IC yield improvement. I coordinated IT, domain expert and data engineer to deliver high-reliability machine-learning-based solutions by Python, MATLAB and Java. Currently looking for a cloud-based client other than semiconductor manufacturing such as finance, retail, power control or consultant around the world. For me, I like to talk to people and understand what they really want. Travelling around the world and experiencing various cultures is my favourite after work.

Graduate Student at the University of Auckland

Hsinchu,TW
[email protected]

Work Experience

AI Project Coordinator, 2020 - 2021, 1 year, 6 months
Taiwan Semiconductor Manufacturing Company

@ Machine-learning-based DoE (Design of Experiments)
  • Consult 10+ process recipe tuning projects in advanced technology (N3, N2, N1.4)
  • Build up a machine-learning adoption framework to assist used OFAT to MFAT tuning.  

Experiences 00 00@2x 504900dc09d82f711fdb54cf5763251cab5193a844856da978b2b8f3907ecd5a

Data Scientist. 2012 - 2019, 8 years 3 months
Taiwan Semiconductor Manufacturing Company

@ Machine Learning Solution Development 

  • Using OpenCV(C#), ImageJ (Java) and MATLAB for defect image identification by SVM and K-means, the solution provides a 100% defect identification rate and improves the cycle time from weekly to daily.
  • Leverage scikit-learn (Python) to establish a random-forest-based real-time equipment tuning. This methodology showed a good result of reducing 50% direct labour shift (from 54 to 27) by improving the beam tuning success rate from 62% to 96%.

@ IT System Integration

In a machine learning project, I integrated multi-language kernels into a workable solution among Java, Python, C# and MATLAB. 


@ Project Management 

  • Collaborate with IBM/SPSS to complete functionality-level verification for buyer reference. 
  • Host the university JDP (Joint Develop Project) to develop GDS weak point detection platform.
  • Experience 10+ ML projects to tackle huge datasets from untreated to analyzable.

Education

Master of Information Technology
University of Auckland - New Zealand
2021 - current

To enrich the lake of the IT domain knowledge, I focus on establishing maintainable software and cloud implementations in the semiconductor and healthcare domains. During the first-year study, I've got my AWS Cloud Practitioner Citification and proposed a hybrid cloud solution for real-time production equipment tuning.

Master of Industrial Engineering
National Taiwan University - Taiwan
2008 - 2010

Mainly focus on machine learning algorithms study and semantic network construction for semiconductor manufacturing. In my master thesis, using coloured Petri nets (CPN) to model PVD (Physical Vapor Deposition) to seek a workable equipment process optimization.

Bachelor of Industrial Engineering
Yuan Ze University - Taiwan 
2004 - 2008

Major in computer programming such as ASP.NET, Java, C# and host a website project to a personal income/expense management system which includes project management and client/server coding.

Skills, Certification and Awards


Soft Skills

  • Well communicate and organize capability among stakeholders such as an executive secretary to host company internal workshop
Certification 
  • 2021 AWS Certified Solutions Architect - Associate <Link>
  • 2021 AWS Certified Cloud Practitioner <Link>
  • 2018 Udacity Nanodegree of Machine Learning <Link>
  • 2018 TSMC Machine Learning Talent Development Program


Hard Skills

  • Multi programming language coding and integrating skills: 
    1. Java, C#, C, VB.NET, SQL
    2. Python, MATLAB
    3. Microsoft Excel
  • Multimedia material design capability
    1. Adobe After Effect
    2. Microsoft PowerPoint


Awards

  • TSMC 2020 Q2 division quarterly star
  • TSMC 2020 4th machine learning competition -  bronze award
  • TSMC 2018 2nd machine learning competition - recognition award
  • TSMC 2013, 2015, 2016 and 2018 department monthly star

Research Reports

  • Supervised Learning: Try to Figure Out What Makes a Wine Better Than Another? <Link
  • The Architecture of the Hybrid Cloud Based Machine Learning Model Center <Link>

Paper Publications

  • Liangliang Sun; Luh, P.B.; Shian-Ching Chiou; Shi-Chung Chang; Jen-Hsuan Ho; Hsin Yuan Chen; Ji-Lun Chen; Chang, J.; Hsu, S.; , "Efficient dual-armed cluster tool performance via branch and cut optimization algorithm," Intelligent Control and Automation (WCICA), 2011 9th World Congress on. (2011): 79-84. IEEE Xplore. Web.
  • Hsu, P. M., J. L. Chen, J. Chang, S. C. Chiou, J. H. Ho, S. C. Chang, L. L. Sun, P.B. Luh. 2010. "Design of Standard Modeling Process For Tool Sequencing Optimization Under Given Robot Control Logics". In Proc. of 2010 International Symposium on Semiconductor Manufacturing: 1-4.

Resume
Profile

Hsien-Chiang (John) Chiu

I'm an IT graduate student at the University of Auckland and major in hybrid-cloud application research. Was a senior data scientist with over nine years of experience in IC yield improvement. I coordinated IT, domain expert and data engineer to deliver high-reliability machine-learning-based solutions by Python, MATLAB and Java. Currently looking for a cloud-based client other than semiconductor manufacturing such as finance, retail, power control or consultant around the world. For me, I like to talk to people and understand what they really want. Travelling around the world and experiencing various cultures is my favourite after work.

Graduate Student at the University of Auckland

Hsinchu,TW
[email protected]

Work Experience

AI Project Coordinator, 2020 - 2021, 1 year, 6 months
Taiwan Semiconductor Manufacturing Company

@ Machine-learning-based DoE (Design of Experiments)
  • Consult 10+ process recipe tuning projects in advanced technology (N3, N2, N1.4)
  • Build up a machine-learning adoption framework to assist used OFAT to MFAT tuning.  

Experiences 00 00@2x 504900dc09d82f711fdb54cf5763251cab5193a844856da978b2b8f3907ecd5a

Data Scientist. 2012 - 2019, 8 years 3 months
Taiwan Semiconductor Manufacturing Company

@ Machine Learning Solution Development 

  • Using OpenCV(C#), ImageJ (Java) and MATLAB for defect image identification by SVM and K-means, the solution provides a 100% defect identification rate and improves the cycle time from weekly to daily.
  • Leverage scikit-learn (Python) to establish a random-forest-based real-time equipment tuning. This methodology showed a good result of reducing 50% direct labour shift (from 54 to 27) by improving the beam tuning success rate from 62% to 96%.

@ IT System Integration

In a machine learning project, I integrated multi-language kernels into a workable solution among Java, Python, C# and MATLAB. 


@ Project Management 

  • Collaborate with IBM/SPSS to complete functionality-level verification for buyer reference. 
  • Host the university JDP (Joint Develop Project) to develop GDS weak point detection platform.
  • Experience 10+ ML projects to tackle huge datasets from untreated to analyzable.

Education

Master of Information Technology
University of Auckland - New Zealand
2021 - current

To enrich the lake of the IT domain knowledge, I focus on establishing maintainable software and cloud implementations in the semiconductor and healthcare domains. During the first-year study, I've got my AWS Cloud Practitioner Citification and proposed a hybrid cloud solution for real-time production equipment tuning.

Master of Industrial Engineering
National Taiwan University - Taiwan
2008 - 2010

Mainly focus on machine learning algorithms study and semantic network construction for semiconductor manufacturing. In my master thesis, using coloured Petri nets (CPN) to model PVD (Physical Vapor Deposition) to seek a workable equipment process optimization.

Bachelor of Industrial Engineering
Yuan Ze University - Taiwan 
2004 - 2008

Major in computer programming such as ASP.NET, Java, C# and host a website project to a personal income/expense management system which includes project management and client/server coding.

Skills, Certification and Awards


Soft Skills

  • Well communicate and organize capability among stakeholders such as an executive secretary to host company internal workshop
Certification 
  • 2021 AWS Certified Solutions Architect - Associate <Link>
  • 2021 AWS Certified Cloud Practitioner <Link>
  • 2018 Udacity Nanodegree of Machine Learning <Link>
  • 2018 TSMC Machine Learning Talent Development Program


Hard Skills

  • Multi programming language coding and integrating skills: 
    1. Java, C#, C, VB.NET, SQL
    2. Python, MATLAB
    3. Microsoft Excel
  • Multimedia material design capability
    1. Adobe After Effect
    2. Microsoft PowerPoint


Awards

  • TSMC 2020 Q2 division quarterly star
  • TSMC 2020 4th machine learning competition -  bronze award
  • TSMC 2018 2nd machine learning competition - recognition award
  • TSMC 2013, 2015, 2016 and 2018 department monthly star

Research Reports

  • Supervised Learning: Try to Figure Out What Makes a Wine Better Than Another? <Link
  • The Architecture of the Hybrid Cloud Based Machine Learning Model Center <Link>

Paper Publications

  • Liangliang Sun; Luh, P.B.; Shian-Ching Chiou; Shi-Chung Chang; Jen-Hsuan Ho; Hsin Yuan Chen; Ji-Lun Chen; Chang, J.; Hsu, S.; , "Efficient dual-armed cluster tool performance via branch and cut optimization algorithm," Intelligent Control and Automation (WCICA), 2011 9th World Congress on. (2011): 79-84. IEEE Xplore. Web.
  • Hsu, P. M., J. L. Chen, J. Chang, S. C. Chiou, J. H. Ho, S. C. Chang, L. L. Sun, P.B. Luh. 2010. "Design of Standard Modeling Process For Tool Sequencing Optimization Under Given Robot Control Logics". In Proc. of 2010 International Symposium on Semiconductor Manufacturing: 1-4.