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On
4-6 years
6-10 years
10-15 years
More than 15 years
Kaohsiung City, Taiwan
智慧製造全端開發工程師 @聯華電子股份有限公司2022 ~ Present
・
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
Within one month
各製程機台介面之影像辨識功能: OCR 元件、客製化機台影像辨識元件開發、瑕疵檢測模型開發、影像分割模型開放、影像定位演算法開發。 開發功能專案管理:系統設計與功能規劃，與外包共同完成系統優化與功能開發。 UMC 12X 廠內RPA專案執行:與使用
Employed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
元智大學 Yuan Ze University
・
工業工程與管理學系所
Past
外包-全端工程師 @艾力克電機2023 ~ 2023
・
前端工程師、後端工程師、全端工程師
Within two months
研究案，ICD國際疾病碼之人工智慧學習的產學合作案子。加入時案子已經有一定進展，主要是跟學長們一起思考如何加速演算法的流程。 SideProject 時數填寫平台 開發一個能幫助學生填報時數的平台，每天會自動化啟動一次這項服務。平台主要是透過
Unemployed
・
Ready to interview
Intern / Interested in working remotely
4-6 years
國立雲林科技大學
・
資訊管理系
全端工程師 @中冠資訊股份有限公司2021 ~ Present
・
網站後端工程師
Within one month
回傳至操控台進行自動避碰。 工作項目： (1) 物件辨識：利用yolo模型進行河面上之障礙物辨識 (2) 物件追蹤：利用深度學習追蹤演算法(Siames RPN)進行高速追蹤 (3) 追蹤優化：辨識結果結合Kalmam filter進行優化 youtube字幕資料收集：將內影片嵌字幕轉換成文字，生成語
Employed
・
Ready to interview
Full-time / Interested in working remotely
6-10 years
清華大學 National Tsing Hua University
・
核子工程 nuclear engineering
GNSS Algorithm Engineer @Airoha Technology Corp.2018 ~ Present
・
資深軟/韌體工程師
Within one month
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
Employed
・
Open to opportunities
Full-time / Interested in working remotely
6-10 years
National Cheng Kung University
・
Aeronautical and Astronautical Engineering
Past
Android工程師 @天旭國際科技有限公司2022 ~ 2023
・
Senior Android Engineer
Within one month
Unemployed
・
Open to opportunities
Full-time / Interested in working remotely
6-10 years
國立臺灣海洋大學 National Taiwan Ocean University
・
水產養殖全端工程師 @重量科技 KryptoGO2023 ~ Present
・
Senior Full Stack Developer/Engineering Manager
Within one month
Employed
・
Not open to opportunities
Full-time / Interested in working remotely
6-10 years
台灣大學
・
Computer Science and Information EngineeringFull-time / Interested in working remotely
6-10 years
輔英科技大學
・
軟體設計
AI 工程師 @台灣塑膠工業股份有限公司2020 ~ 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
Within six months
吳慶洋 Qingyang Wu Research Developer/Data Scientist/Chemical Engineer 研究所主修化工控制與數據分析，喜歡研究各式各樣的演算法，喜歡電腦視覺的相關研究，具有3年以上的AI應用以及雲端應用相關經驗。擅長分析化工製程數據與製程控制，熟悉資訊系統與化工製程流程，能夠
Employed
Full-time / Interested in working remotely
4-6 years
Chung Yuan Christian University
・
Master in Chemical Engineering
程式設計師
More than one year
權限目錄功能。 React + Java 粉絲團資料分析 期間︰2017//07、2018/03 前端︰使用React、Redux 及 SSR 方式開發。 後端︰使用Java Spark、Restfb 方式開發 API；FB演算法異動， 增加Chrome driver截取資料， 並存入ArangoDB以利後續統計分析 其功能有︰ 前台︰一般會員/FB登入、 查詢介面。 後台︰依粉絲團貼
Employed
Full-time / Interested in working remotely
4-6 years
高雄應用科技大學
・
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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.