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On
4-6 years
6-10 years
10-15 years
More than 15 years
Tainan City, Taiwan
Technical Project Manager/技術專案管理 @CM Visual Technology Corporation/微采視像科技股份有限公司2016 ~ Present
・
AI工程師、機器學習工程師、深度學習工程師、資料科學家、Machine Learning Engineer、Deep Learning Engineer、Data Scientist
More than one year
data science. Accustomed to communicating and failure analyzing with cross department. Tainan City, Taiwan Skill Experience 5yrs Product development and validation 3yrs FAE to client 3yrs Display development Optic Display optics and design Wide-view technology Polarizer and Thin film process Knowledge of Color theory, Optic, Crystal optic Data science Statistic Python, R, SQL DFSS Knowledge of ML/DL, Data modeling and visualization Personality Traits Motivated learner Accustomed to communicating Flexible and open-mind Language Chinese - Native English - Intermediate Work Experience Technical Project Manager CM Visual Technology Corporation •Present Responsible for: 1. New product development project
Employed
Full-time / Interested in working remotely
6-10 years
National Sun Yat-Sen University/國立中山大學
・
Optoelectronic Engineering/光電工程
Senior Product Manager @Kdan Mobile2022 ~ Present
・
Product Management
Within one month
Employed
・
Open to opportunities
Full-time / Interested in working remotely
6-10 years
HHL LEIPZIG GRADUATE SCHOOL OF MANAGEMENT – Top 100 Global MBA by The Economist
・
Management, Entrepreneurship, Strategy
資深經理 @緯創資通2021 ~ Present
・
Technical Manager
Within three months
National Taiwan University of Science and Technology - Master of Information Engineering Experience: 2010 Wistron - Software Engineer 2015 Wistron - ML/DL Image Processing Engineer 2019 Wistron - Technical Manager 2020 MIT - Computer Science and Artificial Intelligence Laboratory (CSAIL) Visiting Engineer Competition: 2016 Ministry of Economic Affairs Bureau of Industry – Mastering the Data Context Hackathon Competition, Data Marketing Award 2017 Kaggle: The Nature Conservancy Fisheries Monitoring – bronze medal <6% 2018 Wistron Capital Entrepreneurship Competition 3rd place - Baby Guardian In 2020, I was fortunate to be a Visiting Engineer at Massachusetts Institute of Technology-Computer Science & Artificial Intelligence Laboratory for six months, to
Employed
Full-time / Interested in working remotely
10-15 years
National Taiwan University of Science and Technology
・
Master's degree Computer Science and Information EngineeringEmployed
Full-time / Interested in working remotely
4-6 years
University of Michigan(Coursera)
・
Using Python to Access Web Data
半導體研發工程師 @ UMC2015 ~ Present
・
Within three months
20% to almost zero by optimizing plasma uniformity in ULK deposition. Troubleshooting in dielectric process for 14 nm and 22 nm mass product. Optimized ULK film for 28 nm shrinkage to 22 nm technology. Developed high compressive TEOS for wafer bonding. ( < -350 MPa) Developed Ar carrier gas in TEOS deposition for helium reduction. Education History National Tsing Hua University (NTHU), Taiwan,Ｍaster of Science in Chemistry National Kaohsiung Normal University, Taiwan,Bachelor of Science in Chemistry Skill Specializing in ULK/TEOS/ALD processes. Experience with LAM and AMAT t...
Full-time / Interested in working remotely
4-6 years
清華大學
・
化學Sr. UX Researcher @17LIVE2021 ~ Present
・
UX Designer, User Researcher
Within six months
Employed
・
Not open to opportunities
Full-time / Interested in working remotely
6-10 years
國立清華大學
・
社會學, 哲學
缺陷分析工程師 @TSMC2014 ~ 2017
・
資料科學家/機器學習工程師
More than one year
problems, familiar with the way that defect is discovered and the mechanism of defect formation. Also experienced on develop defect analysis system with IT and machine learning engineer. For job skills/tools, learned to program by VBA, SQL and some python because of the large amount of data analysis at work, and also try to apply machine learning to work. Currently working and studying hard to become a data scientist. 資料科學家/機器學習工程師 Taipei Special Municipality，TW [email protected] 工作經
Full-time / Interested in working remotely
4-6 years
清華大學
・
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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
Job Search Progress
Professions
Data Engineer
Fields of Employment
Software
Work experience
1-2 years work experience (Less than 1 year relevant)
Management
Skills
Languages
Chinese
・
Native or Bilingual
English
・
Professional
Job search preferences
Positions
Image processing, machine learning, parallel computing, software engineer
Job types
Full-time
Locations
Taipei, 台灣, Japan, United States, Canada, Australia, Taiwan, China, Singapore, Hong Kong, Taichung, 台灣, Tainan City, 台灣, Kaohsiung City, 台灣, Hsinchu City, 台灣, Hsinchu County, 台灣
Remote
Interested in working remotely
Freelance
Educations
School
National Central University
Major
Master of Science Computer Science and Information Engineering
Overview
- Full of enthusiasm and solid experience in image processing and machine learning over 3 years, parallel computing over 1 year.
- C/C++ over 5 years.
- Python over 4 years.
Skills
- Proficient programming language: C, C++, Python, Julia, SQL
- Machine learning framework: Keras
- Image processing library: OpenCV, scikit-image
- Web backend framework: Django
- Web frontend framework: Vue
- CI/CD: GitHub Actions
- Monitoring: Prometheus, Grafana
- DevOps: Docker
Work Experience
Cloud Engineer in Test, Sep 2020 ~ Present
Trend Micro Inc.
Research Assistance, Feb 2020 ~ Aug 2021
Academica Sinica
- QSIS-Data-Acquisition-System
◼ socket.io, Obspy, RasberryPI, qemu-user-static
◼ Create low-cost seismometer only costs 5,000 NTD.
◼ Reduce firmware update time from ten to three minutes. - Seismic-wave analysis program (min-max, FFT, gap, overlap)
◼ Self-created tool for seismic data quality control.
◼ Use libmseed to manipulate miniSEED 3.x format data.◼ Outperform SAC when encountering data with gaps.
- TAPs website (https://taps.earth.sinica.edu.tw/)
◼ Django, GraphQL, Vue, MySQL, Dramatiq, RabbitMQ, GitHub Action, Prometheus, Grafana◼ Reduce data query time by 75%.◼ Solve zombie process problem when running C shell in Docker.
Projects
SLIC.jl
- Implement SLIC algorithm (with enforcing connectivity) in Julia.
vface-server-cpp
- Low cost VTuber-project.
- Detect face key points using C++, OpenCV, and Dlib in 10 ms.
- Send information to web client via Websocket.
Education
National Central University, Sep 2017 ~ Jun 2019
- Master of Computer Science and Information Engineering
- Overall GPA: 3.34/4.0
- Diploma thesis: Fish Image Segmentation and Classification System Design Based on Deep Learning
- Create a segmentation and classification system with Mask R-CNN and ResNet-50 classifier for recognizing 41 kinds of fish with 85% of Top-1 classification accuracy of species recognition.
- Create a fish image dataset containing at least 800 images with labeling
National Central University, Sep 2013 ~ Jun 2017
- Bachelor of Computer Science and Information Engineering
- Overall GPA: 3.35/4.0
Award
Outstanding Graduate Teaching Award
- 3rd place of excellent achievement in teaching assistance
Certificate
Fundamentals of Accelerated Computing with CUDA C/C++
Academic
Course TA
- Robot Design
- Embedded System Design
- Experiment of Digital Design
Extracurricular Activities
Member, Sep 2014 ~ Jul 2016
Networking and Open Source Community Club
- Full attendance for every event and always try my best to learn some new technique such as Git, Linux, Python, Ruby, etc.
Freelance Writer, Dec 2019 ~ Present
Analytics Vidhya, Medium
- Featured writer about Machine Learning and Image Processing.
Overview
- Full of enthusiasm and solid experience in image processing and machine learning over 3 years, parallel computing over 1 year.
- C/C++ over 5 years.
- Python over 4 years.
Skills
- Proficient programming language: C, C++, Python, Julia, SQL
- Machine learning framework: Keras
- Image processing library: OpenCV, scikit-image
- Web backend framework: Django
- Web frontend framework: Vue
- CI/CD: GitHub Actions
- Monitoring: Prometheus, Grafana
- DevOps: Docker
Work Experience
Cloud Engineer in Test, Sep 2020 ~ Present
Trend Micro Inc.
Research Assistance, Feb 2020 ~ Aug 2021
Academica Sinica
- QSIS-Data-Acquisition-System
◼ socket.io, Obspy, RasberryPI, qemu-user-static
◼ Create low-cost seismometer only costs 5,000 NTD.
◼ Reduce firmware update time from ten to three minutes. - Seismic-wave analysis program (min-max, FFT, gap, overlap)
◼ Self-created tool for seismic data quality control.
◼ Use libmseed to manipulate miniSEED 3.x format data.◼ Outperform SAC when encountering data with gaps.
- TAPs website (https://taps.earth.sinica.edu.tw/)
◼ Django, GraphQL, Vue, MySQL, Dramatiq, RabbitMQ, GitHub Action, Prometheus, Grafana◼ Reduce data query time by 75%.◼ Solve zombie process problem when running C shell in Docker.
Projects
SLIC.jl
- Implement SLIC algorithm (with enforcing connectivity) in Julia.
vface-server-cpp
- Low cost VTuber-project.
- Detect face key points using C++, OpenCV, and Dlib in 10 ms.
- Send information to web client via Websocket.
Education
National Central University, Sep 2017 ~ Jun 2019
- Master of Computer Science and Information Engineering
- Overall GPA: 3.34/4.0
- Diploma thesis: Fish Image Segmentation and Classification System Design Based on Deep Learning
- Create a segmentation and classification system with Mask R-CNN and ResNet-50 classifier for recognizing 41 kinds of fish with 85% of Top-1 classification accuracy of species recognition.
- Create a fish image dataset containing at least 800 images with labeling
National Central University, Sep 2013 ~ Jun 2017
- Bachelor of Computer Science and Information Engineering
- Overall GPA: 3.35/4.0
Award
Outstanding Graduate Teaching Award
- 3rd place of excellent achievement in teaching assistance
Certificate
Fundamentals of Accelerated Computing with CUDA C/C++
Academic
Course TA
- Robot Design
- Embedded System Design
- Experiment of Digital Design
Extracurricular Activities
Member, Sep 2014 ~ Jul 2016
Networking and Open Source Community Club
- Full attendance for every event and always try my best to learn some new technique such as Git, Linux, Python, Ruby, etc.
Freelance Writer, Dec 2019 ~ Present
Analytics Vidhya, Medium
- Featured writer about Machine Learning and Image Processing.