CakeResume 找人才
进阶搜寻
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 ~ 现在
・
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
就职中
・
正在积极求职中
全职 / 对远端工作有兴趣
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 ~ 现在
・
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
就职中
・
正在积极求职中
全职 / 我只想远端工作
10 到 15 年
崑工科技大學
・
電子工程
GNSS Algorithm Engineer @Airoha Technology Corp.2018 ~ 现在
・
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
就职中
・
目前会考虑了解新的机会
全职 / 对远端工作有兴趣
6 到 10 年
National Cheng Kung University
・
Aeronautical and Astronautical Engineering就职中
全职 / 暂不考虑远端工作
6 到 10 年
淡江大學
・
資訊工程所就职中
全职 / 对远端工作有兴趣
6 到 10 年
逢甲大學
・
航太與系統工程學系
Backend Engineer @Anytime2021 ~ 现在
・
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.
就职中
・
目前没有兴趣寻找新的机会
全职 / 对远端工作有兴趣
4 到 6 年
National University of Tainan
・
Applied Mathematics最轻量、快速的招募方案，数百家企业的选择
搜寻简历，主动联系求职者，提升招募效率。
- 浏览所有搜寻结果
- 每日可无限次数开启陌生对话
- 搜尋僅開放付費企業檢視的简历
- 检视使用者信箱 & 电话
搜寻技巧
1
Search a precise keyword combination
senior backend php
2
Use quotes to search for an exact phrase
"business development"
3
Use the minus sign to eliminate results containing certain words
UI designer -UX
职场能力评价定义
专业技能
该领域中具备哪些专业能力（例如熟悉 SEO 操作，且会使用相关工具）。
问题解决能力
能洞察、分析问题，并拟定方案有效解决问题。
变通能力
遇到突发事件能冷静应对，并随时调整专案、客户、技术的相对优先序。
沟通能力
有效传达个人想法，且愿意倾听他人意见并给予反馈。
时间管理能力
了解工作项目的优先顺序，有效运用时间，准时完成工作内容。
团队合作能力
具有向心力与团队责任感，愿意倾听他人意见并主动沟通协调。
领导力
专注于团队发展，有效引领团队采取行动，达成共同目标。
专业背景
目前状态
求职阶段
专业
数据工程师
产业
软件
工作年资
1 到 2 年工作经验（小於 1 年相关工作经验）
管理经历
技能
语言能力
Chinese
・
母语或双语
English
・
专业
求职偏好
希望获得的职位
Image processing, machine learning, parallel computing, software engineer
预期工作模式
全职
期望的工作地点
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
远端工作意愿
对远端工作有兴趣
接案服务
学历
学校
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.