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4-6 years
6-10 years
10-15 years
More than 15 years
National Taiwan University
AI Technical Lead @WeBIM Services2024 ~ Present
・
前端工程師、後端工程師、全端工程師
Within one month
Employed
・
Open to opportunities
Full-time / Interested in working remotely
4-6 years
National Taiwan University
・
Civil Engineering (Division of Transportation Engineering)
Product Manager @SPIN.FASHION, a lablaco company2021 ~ Present
・
Product Manager
Within two months
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
Employed
・
Open to opportunities
Full-time / Interested in working remotely
4-6 years
National Taiwan University
・
Finance BachelorStaff Software Engineer / Web & Playback Tech Lead @KKStream Ltd2019 ~ Present
・
Technical Lead
Within one year
Employed
・
Not open to opportunities
Full-time / Interested in working remotely
6-10 years
National Taiwan University
・
Computer Science and Information EngineeringCTO @KryptoGO Co., Ltd.2021 ~ Present
・
AI Software Engineer,Deep learning Engineer
Within one year
Employed
・
Not open to opportunities
Full-time / Interested in working remotely
6-10 years
National Taiwan University
・
Computer Science and Information Engineering
Co-Founder & CEO @portto 門戶科技 | Blocto2019 ~ Present
・
Project Lead / Tech Lead / Team Lead / Technical Manager
Within two months
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...
Employed
・
Not open to opportunities
Full-time / Not interested in working remotely
10-15 years
National Taiwan University
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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.
Communication
Ability to convey information effectively and is willing to give and receive feedback.
Time Management
Ability to prioritize tasks based on importance; and have them completed within the assigned timeline.
Teamwork
Ability to work cooperatively, communicate effectively, and anticipate each other's demands, resulting in coordinated collective action.
Leadership
Ability to coach, guide, and inspire a team to achieve a shared goal or outcome effectively.
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
Languages
English
・
Fluent
Job search preferences
Positions
雲端工程師，雲端架構師
Job types
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
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.
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
Hard Skills
- Multi programming language coding and integrating skills:
- Java, C#, C, VB.NET, SQL
- Python, MATLAB
- Microsoft Excel
- Multimedia material design capability
- Adobe After Effect
- 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
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.
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.
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
Hard Skills
- Multi programming language coding and integrating skills:
- Java, C#, C, VB.NET, SQL
- Python, MATLAB
- Microsoft Excel
- Multimedia material design capability
- Adobe After Effect
- 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
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.