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Tainan City, Taiwan
智慧製造全端開發工程師 @聯華電子股份有限公司2022 ~ Présent
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AI工程師、機器學習工程師、深度學習工程師、影像演算法工程師、資料科學家、Ai Application Engineer,Machine Learning Engineer,Deep Learning Engineer,Data Scientist
Dans 1 mois
Employé
・
Prêt à l'interview
Temps plein / Intéressé par le travail à distance
4 à 6 ans
元智大學 Yuan Ze University
・
工業工程與管理學系所
經理 @鴻博資訊有限公司2015 ~ Présent
・
軟體工程師、電玩程式設計師、後端工程師、APP開發工程師、演算法開發工程師
Dans 1 mois
Wang Wen Shang Tainan City, Taiwan || [email protected] Work Experience Manager • Winerva Software Technology Co., Ltd. 四月Present | Taipei, Taiwan Visual Inspection Product Development Product Introduction ∶ https://www.winerva.com/portfolio Project Introduction ∶ https://drive.google.com/drive/folders/1bWVlaIMSOkZJ60wfYuyBcnz1adehqsyo?usp=drive_link Computer Vision Software Engineer • Weijun Precision Machinery Co., Ltd. 十一月三月 2015 | Taipei, Taiwan Product∶ Screw AOI Isnpection System Project Deputy Manager • Genesis Technology ,Inc. 七月一月 2010 | Taipei, Taiwan Product
Employé
・
Prêt à l'interview
Temps plein / Uniquement Travail à distance
10 à 15 ans
崑工科技大學
・
電子工程
GNSS Algorithm Engineer @Airoha Technology Corp.2018 ~ Présent
・
資深軟/韌體工程師
Dans 1 mois
Cheng Kung University M.S. in Aeronautics and Astronautics Engineering, Guidance Navigation and Control Jul 2013 – Aug 2015 PROFESSIONAL EXPERIENCE Airoha Technology Corp. Taipei, Taiwan Senior Software Engineer for GNSS Oct 2018 – Present Providing critical system support to facilitate the build-up process for customer's proprietary algorithm in ARM CM4 (Cortex-M4) with FreeRTOS real-time process Optimized the architecture to meet customer requirements, achieving a ~35% reduction in CPU resources , especially in products with high positioning update rates, particularly designed for automotive applications Integrating GNSS algorithm within CM4 embedded software platform during IC bring-up
Employé
・
Ouvert à de nouvelles opportunités
Temps plein / Intéressé par le travail à distance
6 à 10 ans
National Cheng Kung University
・
Aeronautical and Astronautical EngineeringEmployé
Temps plein / Je ne suis pas intéressé par le travail à distance
6 à 10 ans
淡江大學
・
資訊工程所軟體工程師 @Zealogics Taiwan_美商邏輯技術有限公司台灣分公司-派駐於ASML(艾斯摩爾)2022 ~ Présent
・
Software Engineer
Dans 1 an
Employé
Temps plein / Intéressé par le travail à distance
6 à 10 ans
逢甲大學
・
航太與系統工程學系
Backend Engineer @Anytime2021 ~ Présent
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Backend Engineer
Dans 2 mois
building, testing, and deploying the website. Use Docker Compose to create a standardized development environment. Integrate NewbePay, a secure online payment gateway to the website. Design a tree-structure table for diverse service components which enhances system flexibility and scalability. Design referral trees and tree-structure algorithm to highly improve recursive queries. Integrate R edis-based queue and AWS SES to handle email jobs and background jobs. Firstage Project Firstage｜線上學習｜諮詢平台 An online teaching platform which supports 1-on-1 and groups bookings across different timezones.
Employé
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Ne recherche pas de nouvelles opportunités
Temps plein / Intéressé par le travail à distance
4 à 6 ans
National University of Tainan
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Ability to navigate unexpected situations; and keep up with shifting priorities, projects, clients, and technology.
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Data Engineer
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1 à 2 ans expérience professionnelle (Moins de 1 an relevant)
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Position Désirée
Image processing, machine learning, parallel computing, software engineer
Type d'emploi
Temps plein
Lieu Désiré
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
Travail à distance
Intéressé par le travail à distance
Freelance
Éducation
École
National Central University
Spécialisation
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.