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National Taiwan University
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AI Technical Lead @WeBIM Services
2024 ~ Présent
前端工程師、後端工程師、全端工程師
Dans 1 mois
HTML/CSS
JavaScript
Node.js
Employé
Ouvert à de nouvelles opportunités
Temps plein / Intéressé par le travail à distance
4 à 6 ans
National Taiwan University
Civil Engineering (Division of Transportation Engineering)
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Product Manager @SPIN.FASHION, a lablaco company
2021 ~ Présent
Product Manager
Dans 2 mois
Wenchin Chuang Product Manager with a software engineering background dedicated to building Earth-friendly products Product Manager Remote (EU / Asia) [email protected] Work Experience Climatebase Fellow, Climatebase —present (Remote) - Participating in Cohort 4 of the Climatebase Fellowship. Product Manager & Founding Partner, lablaco —present (Remote) - Drove the conceptualization, development, and launch of the AR try-on feature in SPIN, a web3 retail marketplace. Collaborated closely with 3D designers to digitize garments into Phygital NFTs at Digital Fashion Week NYC, London, and Paris inGuided the successful execution of a meta-retail exhibition at Galeries
Node.js
MySQL
.NET Core
Employé
Ouvert à de nouvelles opportunités
Temps plein / Intéressé par le travail à distance
4 à 6 ans
National Taiwan University
Finance Bachelor
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Staff Software Engineer / Web & Playback Tech Lead @KKStream Ltd
2019 ~ Présent
Technical Lead
Dans 1 an
Javascript(ES6)
TypeScript
React
Employé
Ne recherche pas de nouvelles opportunités
Temps plein / Intéressé par le travail à distance
6 à 10 ans
National Taiwan University
Computer Science and Information Engineering
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CTO @KryptoGO Co., Ltd.
2021 ~ Présent
AI Software Engineer,Deep learning Engineer
Dans 1 an
Algorithm
ASP.NET
Machine Learning
Employé
Ne recherche pas de nouvelles opportunités
Temps plein / Intéressé par le travail à distance
6 à 10 ans
National Taiwan University
Computer Science and Information Engineering
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Co-Founder & CEO @portto 門戶科技 | Blocto
2019 ~ Présent
Project Lead / Tech Lead / Team Lead / Technical Manager
Dans 2 mois
processing livestream efficiently and with low latency. Agoda, Fullstack Engineer, Jun 2016 ~ Mar 2017 Agoda is one of the world’s fastest-growing online travel booking platforms. Established in 2005, the start-up quickly expanded in Asia and was acquired in 2007 by Booking Holdings Inc. – the world’s largest seller of rooms online. I was in the team in charge of building and maintaining the frontend WebApp and backend of Agoda’s booking form. We used C# .Net for backend and Typescript and KnockoutJS for frontend. Yahoo!, Software...
JavaScript
React.js
Node.js
Employé
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Temps plein / Je ne suis pas intéressé par le travail à distance
10 à 15 ans
National Taiwan University
Electrical Engineering

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AI project coordinator
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TSMC
2020 ~ Présent
Hsinchu County, Taiwan
Professional Background
Statut Actuel
Sans Emploi
Progrès de la Recherche d'Emploi
Professions
Data Scientist
Fields of Employment
Manufacturing
Expérience Professionnelle
6 à 10 ans
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Word
Google Drive
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PowerPoint
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machine learning
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c#
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AWS
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New Zealand, Australia
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Intéressé par le travail à distance
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Oui, je suis indépendant à temps partiel
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École
National Taiwan University
Spécialisation
Industrial Engineering
Imprimer

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.