CakeResume 找人才
進階搜尋
On
4 到 6 年
6 到 10 年
10 到 15 年
15 年以上
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 ~ 現在
・
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
一個月內
就職中
・
正在積極求職中
全職 / 對遠端工作有興趣
4 到 6 年
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 ~ 現在
・
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
一個月內
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
就職中
・
正在積極求職中
全職 / 我只想遠端工作
10 到 15 年
崑工科技大學
・
電子工程
GNSS Algorithm Engineer @Airoha Technology Corp.2018 ~ 現在
・
資深軟/韌體工程師
一個月內
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
就職中
・
目前會考慮了解新的機會
全職 / 對遠端工作有興趣
6 到 10 年
National Cheng Kung University
・
Aeronautical and Astronautical Engineering就職中
全職 / 暫不考慮遠端工作
6 到 10 年
淡江大學
・
資訊工程所就職中
全職 / 對遠端工作有興趣
6 到 10 年
逢甲大學
・
航太與系統工程學系
Backend Engineer @Anytime2021 ~ 現在
・
Backend Engineer
兩個月內
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.
就職中
・
目前沒有興趣尋找新的機會
全職 / 對遠端工作有興趣
4 到 6 年
National University of Tainan
・
Applied Mathematics最輕量、快速的招募方案，數百家企業的選擇
搜尋履歷，主動聯繫求職者，提升招募效率。
- 瀏覽所有搜尋結果
- 每日可無限次數開啟陌生對話
- 搜尋僅開放付費企業檢視的履歷
- 檢視使用者信箱 & 電話
搜尋技巧
1
嘗試搜尋最精準的關鍵字組合
資深 後端 php laravel
2
將須完全符合的字詞放在雙引號中
"社群行銷"
3
在不想搜尋到的字詞前面加上減號，如果想濾掉中文字，需搭配雙引號使用 (-"人資")
UI designer -UX
職場能力評價定義
專業技能
該領域中具備哪些專業能力（例如熟悉 SEO 操作，且會使用相關工具）。
問題解決能力
能洞察、分析問題，並擬定方案有效解決問題。
變通能力
遇到突發事件能冷靜應對，並隨時調整專案、客戶、技術的相對優先序。
溝通能力
有效傳達個人想法，且願意傾聽他人意見並給予反饋。
時間管理能力
了解工作項目的優先順序，有效運用時間，準時完成工作內容。
團隊合作能力
具有向心力與團隊責任感，願意傾聽他人意見並主動溝通協調。
領導力
專注於團隊發展，有效引領團隊採取行動，達成共同目標。
專業背景
目前狀態
求職階段
專業
數據工程師
產業
軟體
工作年資
1 到 2 年工作經驗（小於 1 年相關工作經驗）
管理經歷
技能
語言能力
Chinese
・
母語或雙語
English
・
專業
求職偏好
希望獲得的職位
Image processing, machine learning, parallel computing, software engineer
預期工作模式
全職
期望的工作地點
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
遠端工作意願
對遠端工作有興趣
接案服務
學歷
學校
National Central University
主修科系
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.