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4-6 years
6-10 years
10-15 years
More than 15 years
技術專理 @鴻海2018 ~ Present
・
軟體工程師、系統架構師、PM、技術主管、AI工程師
Within one month
隊成員，協助團隊完成開發任務。 專案： 智慧城市-交通辨識系統 POC (Django, Vue.j, Docker, OpenCV, Elasticsearch) ADAS 數據集視覺化 (Javascript, Python) SVM 系統 POC (C/C++, Android, OpenCV, FastCV) 大樓用電量資料處理 (Python, MySQL, Elasticsearch) 分散式模型部署系統 POC (Flask, MySQL, Docker) Responsible for requirement analysis, definition, and exploration, conceptualizing the foundational system architecture, functional workflows, functional modules, and preliminary DB schema design
Employed
・
Open to opportunities
Full-time / Interested in working remotely
4-6 years
國立雲林科技大學
・
資訊管理
Team Lead @Acer Inc.2022 ~ Present
・
PM/產品經理/專案管理
Within six months
end engineers, two back-end engineers, three QAs, and three designers. 2. X-Sense (PWA App): Ongoing for about two years with a team of 11, including six outsourced engineers, three full-stack software engineers, one QA, and one PM. 3. Earth Mission App (iOS App + Android App + PWA App): A project with a duration of approximately one year. The team consisted of nine members, including three Flutter engineers, two Golang engineers, one QA specialist, two designers, and one project manager. Download link: https://reurl.cc/3xonlO.
Employed
・
Open to opportunities
Full-time / Interested in working remotely
10-15 years
Institute of Project Management
・
Agile Project Management
Sr. Android Developer @紅點子科技VoiceTube2018 ~ Present
・
資深軟體工程師
Within one month
Joe Wu I am a software engineer with 9 Years of experience in mobile development. I have published English Learning apps (Dori, Hero, VoiceTube, Dictionary), an E-commerce app (Cello-Cello), and Music and Video streaming Apps (Friday Music). I am an inquisitive learner and passionate about using new technologies to improve project development speed. I strive to build products with excellent UI/UX and stable functions. Summary Education: Soochow University , Bachelor of Computer Science & Information Management, 2015 Skills: Programming Language : Kotlin, Java, Dart, Javascript, HTML, CSS, Swift, C++ Android Development : Firebase (Dynamic
Employed
・
Not open to opportunities
Full-time / Interested in working remotely
6-10 years
Soochow University
・
Computer Science & Information Management
Employed
Full-time / Interested in working remotely
10-15 years
朝陽科技大學
・
資訊管理
軟體工程師 @倉佑實業股份有限公司2019 ~ Present
・
軟體工程師
Within one year
凃翰穎 國立高雄科技大學(第一校區)資訊管理系 • Kaohsiung, Taiwan Software Engineer 1996，Chiayi，TW [email protected]自傳 我是凃翰穎 畢業於國立高雄科技大學(第一校區)在學時期修完系上所有程式相關課程學過(Java、C/C++、C#、Swift)、資料結構、高等演算法、作業系統、無線網路、大數
Employed
Full-time / Interested in working remotely
4-6 years
國立高雄科技大學(第一校區)
主伺服器 @無限連結科技股份有限公司2022 ~ Present
・
遊戲程式設計師
Within one month
師} 2011//3 負責電視盒的崁入式系統開發 WIFI音響的Android播放軟體開發 串流音樂Android播放軟體開發 使用的相關技術：C, C++, Android, Java, Embedded System 英屬蓋曼群島商構思科技有限公司 {遊戲軟體程式設計師} 2009//4 利用BigWorld遊戲引擎開發MMORPG專案 負責遊戲內
Employed
・
Not open to opportunities
Full-time / Interested in working remotely
More than 15 years
國立成功商水
・
觀光
iOS Developer @夯客2022 ~ Present
・
資深iOS Developer/leader
Within one month
錢包 RxSwift+MVVM+DI 學歷 國立聯合大學, 工學學士（BEng）, 電子工程/資訊, 2009 ~ 2013 偏修資訊相關課程與跨系程式開發(ex : 作業系統, arduino + android...). 喜歡的書 Swift Apprentice Learn how to program with Swift. RxSwift Learn how to use RxSwift to create complex, reactive applications on iOS. 關於我 大學就讀電子工程學系，剛好系上
Employed
・
Not open to opportunities
Full-time / Interested in working remotely
4-6 years
國立聯合大學
・
電子工程/資訊Senior Engineer @璟昇科技股份有限公司-美商ID TECH台灣分公司2021 ~ 2022
・
資深工程師, 經理
Within three months
Employed
Full-time / Interested in working remotely
10-15 years
中央大學
・
Computer Science and Information Engineering
Senior Mobile App Developer @E2 INFOSYSTEMS PRIVATE LIMITED2017 ~ Present
・
Application Developer
More than one year
+) RxSwift, Reactive Cocoa (1+) Core Animation & Motion (1+) XCTest , Appium (2+) Xcode Instruments Tools (3+) JIRA, Agile, TDD (3+) Git, SVN, Air watch (3+) Mac OS & Xcode (4+) Flutter (Android) Dart (2+) Flutter SDK (2+) Bloc, SQLite, Dio, HTTP (2+) Android SDK (2+) Flutter Dev Tools (1+) Flutter Test, Appium (1+) Firebase, Push Notifications (1+) Google play console (2+) Google Maps SDK (2+) Audio & Video call - Asterisk, Google WebRTC, Jitsi SDK (1+) Real-time updates - WebSocket, XMPP, MQTT (1+) Stripe payment
Employed
Full-time / Interested in working remotely
4-6 years
Anna University - Madras Institute of Technology
・
Bachelor of Engineering-BE electronics and communicationsFull-time / Interested in working remotely
10-15 years
淡江大學
・
資訊管理學系The Most Lightweight and Effective Recruiting Plan
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Job Search Progress
Professions
Back-end Engineer
Fields of Employment
Work experience
6-10 years
Management
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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)