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4-6 years
6-10 years
10-15 years
More than 15 years
Part-time / Interested in working remotely
4-6 years
測試工程師 @夠麻吉股份有限公司2017 ~ Present
・
QA測試工程師
Within six months
題，把關系統穩定性、 改善系統品質。 測試配合使用rundeck執行排程測試、Postman執行推播功能測試和資料驗證，測試發生問題時搭配Android Studio紀錄歷程協助工程師能更快的找尋問題。 3.撰寫測試計畫、測試報告，使用Redmine追蹤處理問題 4.撰寫操作手冊。 5.
Employed
Full-time / Interested in working remotely
10-15 years
私立龍華科技大學(台灣)
・
企業管理Employed
Full-time / Interested in working remotely
4-6 years
National Taiwan Normal University
・
Electrical Engineering
Senior Product Owner @PChome Online 網路家庭2023 ~ Present
・
Product Manager
Within one month
Micky Chen Web & App Product Manager / UIUX Designer. Taipei, Taiwan [email protected] // behance.net/mimickschen Experience: 11+ years of working as a Product Manager; experienced in creating Apps and Webs. What I Do: Familiar with creating user flow, wireframe, prototype, and product PRD docs. Domain: Wearable Tech, Ed Tech, Pets, O2O, E-commerce, OTT, Beauty AIAR, & Human Resource. Skills: Sketch, Zeplin, Prott, Figma, GA4, data ai, Tableau, WordPress, BigQuery, SQL, RStudio. Certificates: GAIQ , TOEIC 905/990 , Google Data Analytics Professional Certificate Work Experience
Employed
・
Open to opportunities
Full-time / Not interested in working remotely
10-15 years
國立政治大學
・
國際傳播英語碩士學位學程(肄業)Employed
Full-time / Interested in working remotely
6-10 years
國立臺北大學
・
社會學系
Backend Engineer II @Boom Image Studio2021 ~ Present
・
Full Stack Developer
Within one year
development of two separate IoT platforms for the management of two different fleet hubs was really a challenge. Due to its always changing requirements, I decided to use Domain-Driven Design ( DDD ) and Test-Driven Development ( TDD ) approaches to support these projects at best. I also developed an Android application that supported all the features of the platform but on a mobile device. The mainly adopted technologies: Java 8, Angular, ReactJS, Amplify, AWS Lambda, DynamoDB, AWS IoT. Full-Stack Developer • Capgemini Sep 17 - Feb 20 I worked for a major Italian bank as an external consultant
Employed
Full-time / Interested in working remotely
4-6 years
University of Napoli Federico II
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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
Employed
Job Search Progress
Professions
Back-end Engineer
Fields of Employment
Work experience
6-10 years
Management
None
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Positions
Senior Software Engineer
Job types
Full-time
Locations
Remote
Interested in working remotely
Freelance
No
Educations
School
National Tsing Hua University
Major
Information System and Application
謝泓廷 (Vincent Hsieh)
My dream is to be one of the contributors of world-class software which really facilitate people's daily life. When I graduate from NTHU, I learn android starting from a famous smart phone manufacture. In that period, in addition to the android framework, I further have experience to co-work with product manager and UX designer to come up with great software that million of user need. Moreover, I have experience in the past two year to co-work with oversea team in Europe to develop the world-class navigation software which is now the leading automative navigation system in cars around the Europe.
java、Kotlin、C++、Android、machine learning、computer vision、python
[email protected]
EDUCATION
HsinChu City, R.O.C ; Master in Information System and Application, National Tsing-Hua University — 2011 ~ 2013
- GPA: 4.21
- TOEIC: 790
Taoyuan City, R.O.C ; B.S in Information Management, Yuan-Ze University — 2007 ~ 2011
- GPA: 3.71, School Year Rank (1/55)
WORK EXPERIENCE
- Senior Engineer @ TSMC - 2021/04 - 2021/10
- Java-based equipment automation system (Java, Kubernetes, SpringBoot)
- Software Engineer @ TomTom - 2018/08 - 2021/04
- Android-based user interface (Kotlin, Java)
- Automated end-to-end testing (Cucumber, Espresso)
- Cross platform navigation engine (C++)
- Work with oversea team
- Scrum team member
- Senior Software Engineer @ AMACS (AI Machine learning And Cloud Software) Center, ASUS— 2017 ~ 2018
- Computer Vision related projects
- Face Recognition System in ASUS
- Android Software Developer @ AMAX( ASUS Mobile Application eXperience Center), ASUS — 2014 ~ 2017
ANDROID PROJECT .
- TomTom GO Navigation - GPS Maps & Traffic Alerts: an onboard navigation software that provide route planning with real-time traffic.
- An on board navigation software that provide route planning with real-time traffic. In addition to route planning, it's functionalities includes providing timely voice and visual guidance, searching for rich POIs and warning for speed cameras so that guide the driver to the destination safely.
- Design and implement features
- End-to-end automation test, unit-test
- Co-work with UX designer, engineer with oversea team in Europe.
Skills:
- Kotlin, Java, C++
- e2e automation test
- Kids Mode: an easy and customized launcher for kids in ZenFone 2
An Android launcher that design for kids between 5 to 10 years old. It's a safe playground for kids to use. Parents can pick applications their kids can access under Kids Mode . Moreover they could set play time for their kids to use, preventing them from playing smart phone for a long time.
Responsibility:
- Design and implement features
- unit test
- ZenUI Launcher: a highly customized launcher which preloaded in Zenfone series
This launcher is pre-loaded in ASUS zenfone and its download and update counts has been over 10,000,000 in Google Play Store. It’s a highly customised launcher for users. In this application, I have involved in developing features including the following ones:
- ZenUI Now: a widget in Android home screen that show various news according to your favourite publisher. With this feature, user can read online news directly without opening browser or even downloading news apps.
- ZenUI Show: User can share their customized home screen as screenshot to social network.
- Badge: Unread badge count at icons such as Facebook, Gmail
Responsibility:
- Develop the above features
- Develop different size of layouts for Android tablet or phone.
- Improve memory usage in ZenUI Launcher using Android Studio or LeakCanary.
Skills:
- Java
- LeakCanry, Lint, Android hierarchy viewer, MAT, Infer
ONLINE COURSE
- 機器學習基石 (Machine Learning Foundations) -Hsuan-Tien Lin
- 機器學習技法 (Machine Learning Technique)- Hsuan-Tien Lin
- Deep Learning Specialization (Coursera) - Prof. Andrew Ag.
- Neural Networks and Deep Learning
- Structuring Machine Learning Projects
- Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
- Convolutional Neural Networks
- CS231n: Convolution Nerual Networks (Stanford University)
- course website : http://cs231n.stanford.edu/2017/
- assignment : https://github.com/vincent732/cs231n
COMPUTER VISION PROJECT
- Face Recognition System: A real-time face classification using deep learning approach
In order to solve the problem that if we forgot to bring our identification card, we cannot enter the office. We implement a face recognition system (Face Detection、Face Embedding Generation、Classification) in front of the entry in our office.
Responsibility:
- Collect training images
- Reading paper to explore new idea
- Improve the flow and performance of system
- Try various experiments to validate our idea
Skills:
- Python
- Tensorflow
- SVM, FaceNet, MobileNet
- Docker
- Face Recognition in Raspiberry pi with Intel Movidius NCS
In the second stage of face recognition, in order to reduce the cost of setting up network or pc (with GPU), we move the system from PC to Raspberry pi with Intel Movidius NCS, which is used to speed up the inference speed on embedded system.
Responsibility:
- Transform tensorflow model to NCS graph
- Improve the performance of system
Skills:
- NCS sdk
- Python
- Docker
HONORS
Academic Silver Medal
Awarded by Yuan Ze University (2009)
Yu-Hsiang Scholarship
Awarded by Yuan Ze University (2009)
Wan-Lin Tsai Scholarship
Awarded by Cathay Charity Foundation (2013)
PUBLICATIONS
- Hung-ting Hsieh, Chung-chi Huang, Mei-hua Chen, Mingling Bai, Jason S. Chang, and Keh-jiann Chen, 2012, An In-Page Computer- Assisted Translation Tool for Specific Domain, In Proceeding of the 10th Biennial Conference of the Association for Machine Translation in the Americas, Demo session (AMTA 2012)
- Shih-ting Huang, Mei-hua Chen, Hung-ting Hsieh, Tinghui Kao and Jason S. Chang. 2012. FLOW: A First- Language-Oriented Writing Assistant System. In Proceeding of the 50th Annual Meeting of the Association for computational Linguistics: Systems Demonstrations (ACL 2012)
- Chung-Chi Huang, Ping-Che Yang, Mei-Hua Chen, Ting- Hui Kao, Hung- Ting Hsieh and Jason S. Chang. TransAhead: A Writing Assistant for CAT and CALL, In Proceeding of the 13th European Chapter of the Association for computational Linguistics (EACL 2012)
- Chung-Chi Huang, Mei-Hua Chen, Shih-Ting Huang, Hung-Ting Hsieh, Ting-Hui Kao, Hsien-Chin Liou, Jason S. Chang. Automatically Generating Grammar Patterns and Lexical Bundles for Assisting Language Learners’ collocation learning, In Proceeding of the 15th International CALL Research Conference (CALL 2012)
謝泓廷 (Vincent Hsieh)
My dream is to be one of the contributors of world-class software which really facilitate people's daily life. When I graduate from NTHU, I learn android starting from a famous smart phone manufacture. In that period, in addition to the android framework, I further have experience to co-work with product manager and UX designer to come up with great software that million of user need. Moreover, I have experience in the past two year to co-work with oversea team in Europe to develop the world-class navigation software which is now the leading automative navigation system in cars around the Europe.
java、Kotlin、C++、Android、machine learning、computer vision、python
[email protected]
EDUCATION
HsinChu City, R.O.C ; Master in Information System and Application, National Tsing-Hua University — 2011 ~ 2013
- GPA: 4.21
- TOEIC: 790
Taoyuan City, R.O.C ; B.S in Information Management, Yuan-Ze University — 2007 ~ 2011
- GPA: 3.71, School Year Rank (1/55)
WORK EXPERIENCE
- Senior Engineer @ TSMC - 2021/04 - 2021/10
- Java-based equipment automation system (Java, Kubernetes, SpringBoot)
- Software Engineer @ TomTom - 2018/08 - 2021/04
- Android-based user interface (Kotlin, Java)
- Automated end-to-end testing (Cucumber, Espresso)
- Cross platform navigation engine (C++)
- Work with oversea team
- Scrum team member
- Senior Software Engineer @ AMACS (AI Machine learning And Cloud Software) Center, ASUS— 2017 ~ 2018
- Computer Vision related projects
- Face Recognition System in ASUS
- Android Software Developer @ AMAX( ASUS Mobile Application eXperience Center), ASUS — 2014 ~ 2017
ANDROID PROJECT .
- TomTom GO Navigation - GPS Maps & Traffic Alerts: an onboard navigation software that provide route planning with real-time traffic.
- An on board navigation software that provide route planning with real-time traffic. In addition to route planning, it's functionalities includes providing timely voice and visual guidance, searching for rich POIs and warning for speed cameras so that guide the driver to the destination safely.
- Design and implement features
- End-to-end automation test, unit-test
- Co-work with UX designer, engineer with oversea team in Europe.
Skills:
- Kotlin, Java, C++
- e2e automation test
- Kids Mode: an easy and customized launcher for kids in ZenFone 2
An Android launcher that design for kids between 5 to 10 years old. It's a safe playground for kids to use. Parents can pick applications their kids can access under Kids Mode . Moreover they could set play time for their kids to use, preventing them from playing smart phone for a long time.
Responsibility:
- Design and implement features
- unit test
- ZenUI Launcher: a highly customized launcher which preloaded in Zenfone series
This launcher is pre-loaded in ASUS zenfone and its download and update counts has been over 10,000,000 in Google Play Store. It’s a highly customised launcher for users. In this application, I have involved in developing features including the following ones:
- ZenUI Now: a widget in Android home screen that show various news according to your favourite publisher. With this feature, user can read online news directly without opening browser or even downloading news apps.
- ZenUI Show: User can share their customized home screen as screenshot to social network.
- Badge: Unread badge count at icons such as Facebook, Gmail
Responsibility:
- Develop the above features
- Develop different size of layouts for Android tablet or phone.
- Improve memory usage in ZenUI Launcher using Android Studio or LeakCanary.
Skills:
- Java
- LeakCanry, Lint, Android hierarchy viewer, MAT, Infer
ONLINE COURSE
- 機器學習基石 (Machine Learning Foundations) -Hsuan-Tien Lin
- 機器學習技法 (Machine Learning Technique)- Hsuan-Tien Lin
- Deep Learning Specialization (Coursera) - Prof. Andrew Ag.
- Neural Networks and Deep Learning
- Structuring Machine Learning Projects
- Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
- Convolutional Neural Networks
- CS231n: Convolution Nerual Networks (Stanford University)
- course website : http://cs231n.stanford.edu/2017/
- assignment : https://github.com/vincent732/cs231n
COMPUTER VISION PROJECT
- Face Recognition System: A real-time face classification using deep learning approach
In order to solve the problem that if we forgot to bring our identification card, we cannot enter the office. We implement a face recognition system (Face Detection、Face Embedding Generation、Classification) in front of the entry in our office.
Responsibility:
- Collect training images
- Reading paper to explore new idea
- Improve the flow and performance of system
- Try various experiments to validate our idea
Skills:
- Python
- Tensorflow
- SVM, FaceNet, MobileNet
- Docker
- Face Recognition in Raspiberry pi with Intel Movidius NCS
In the second stage of face recognition, in order to reduce the cost of setting up network or pc (with GPU), we move the system from PC to Raspberry pi with Intel Movidius NCS, which is used to speed up the inference speed on embedded system.
Responsibility:
- Transform tensorflow model to NCS graph
- Improve the performance of system
Skills:
- NCS sdk
- Python
- Docker
HONORS
Academic Silver Medal
Awarded by Yuan Ze University (2009)
Yu-Hsiang Scholarship
Awarded by Yuan Ze University (2009)
Wan-Lin Tsai Scholarship
Awarded by Cathay Charity Foundation (2013)
PUBLICATIONS
- Hung-ting Hsieh, Chung-chi Huang, Mei-hua Chen, Mingling Bai, Jason S. Chang, and Keh-jiann Chen, 2012, An In-Page Computer- Assisted Translation Tool for Specific Domain, In Proceeding of the 10th Biennial Conference of the Association for Machine Translation in the Americas, Demo session (AMTA 2012)
- Shih-ting Huang, Mei-hua Chen, Hung-ting Hsieh, Tinghui Kao and Jason S. Chang. 2012. FLOW: A First- Language-Oriented Writing Assistant System. In Proceeding of the 50th Annual Meeting of the Association for computational Linguistics: Systems Demonstrations (ACL 2012)
- Chung-Chi Huang, Ping-Che Yang, Mei-Hua Chen, Ting- Hui Kao, Hung- Ting Hsieh and Jason S. Chang. TransAhead: A Writing Assistant for CAT and CALL, In Proceeding of the 13th European Chapter of the Association for computational Linguistics (EACL 2012)
- Chung-Chi Huang, Mei-Hua Chen, Shih-Ting Huang, Hung-Ting Hsieh, Ting-Hui Kao, Hsien-Chin Liou, Jason S. Chang. Automatically Generating Grammar Patterns and Lexical Bundles for Assisting Language Learners’ collocation learning, In Proceeding of the 15th International CALL Research Conference (CALL 2012)