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On
4 到 6 年
6 到 10 年
10 到 15 年
15 年以上
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曾任
Data Engineer @Rooit Inc. (XO App)
2023 ~ 2023
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
一個月內
Python
Data Analysis
Data Science
待业中
正在积极求职中
全职 / 对远端工作有兴趣
6 到 10 年
中國醫藥大學(China Medical University)
臨床醫學研究所
Avatar of Nelson Chen.
Avatar of Nelson Chen.
Senior engineer @Chicony Electronics Co, Ltd.
2018 ~ 现在
全端工程師、後端工程師、前端工程師、軟體專案主管、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
一個月內
Nelson Chen Senior engineer Dedicated Software Engineer with 6+ Years of Experience Senior software engineer specializing in web page development and deep learning. Proficient with machine learning technologies, such as TensorFlow, Numpy, etc. Experience Senior engineer • Chicony Electronics Co, Ltd. .Build an Auto-Encoder AI model for defective detection. .Build an object detection model for detecting car types. .Developed a Front-End and Back-End website for data analysis. .Manage the production process and make it automated production. NovPresent Software engineer • Teco image systems co. ltd .Developed and maintained MFP driver
Python
C
C++
就职中
正在积极求职中
全职 / 对远端工作有兴趣
6 到 10 年
National Taiwan Ocean University
Computer science and engineering
Avatar of 陳勤霖.
Avatar of 陳勤霖.
曾任
博士後研究員 @洛桑大學神經發育疾病實驗室
2023 ~ 2023
Data Scientist, Data Analyst, Machine Learning Engineer
一個月內
1. 神經電生理訊號分析、神經細胞追蹤分析,與藥理試驗。 2. 研究論文撰寫與國際研討會的舉辦。 技能 Data Science Data Analysis, Image Analysis, Machine Learning, Deep Learning, Statistical Analysis, Data visualization Programming Python, PyTorch, NumPy, Pandas, Matplotlib, Scikit-Learn, Git, PostgreSQL, Docker Biotechnology Neuroscience, Genetics, Imaging, Scientific Writing Soft skill Project Management, Probelm Solving, Team Player, Proactive Communication 語言 English — 專業 Chinese — 母語或雙語 French — 初階 學歷
Data Science
Data Analysis
Machine Learning
待业中
正在积极求职中
全职 / 对远端工作有兴趣
4 到 6 年
洛桑聯邦理工學院(EPFL)
神經科學
Avatar of Patrick Hsu.
Avatar of Patrick Hsu.
Algorithm Research & Development @適着三維科技股份有限公司 TG3D Studio Inc.
2021 ~ 现在
Software Engineer
一個月內
Patrick Hsu AI Research & Development As a seasoned AI engineer with six years of experience, I specialize in computer vision, 3D body model reconstruction, generative AI, and possessing some knowledge in natural language processing (NLP). | New Taipei City, [email protected] Work Experience (6 years) Algorithm Research & Design• TG3D Studio MayPresent A skilled engineer specialized in computer vision and generative AI with experience in developing and training AI models for digital fashion applications. Body AI: Virtual Try On Integrated cutting-edge technologies such as Stable Diffusion, ControlNet, and Prompt Engineering to create a sophisticated system for
Python
AI & Machine Learning
Image Processing
就职中
正在积极求职中
全职 / 对远端工作有兴趣
4 到 6 年
國立台灣大學
生物產業機電工程所
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曾任
Senior Front-End Software Engineer @KKSTREAM 香港商科科串流股份有限公司
2020 ~ 2022
前端工程師 Front-End Developer
一個月內
Front-End Development
Front-End Web Development
Javascript(ES6)
待业中
正在积极求职中
全职 / 对远端工作有兴趣
6 到 10 年
國立中山大學 National Sun Yat-Sen University
Computer Science
Avatar of Shammi HSIEH.
Avatar of Shammi HSIEH.
資訊人員 @新北市淡水區公所
2023 ~ 现在
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
一個月內
謝慧珊 目前就職於公家機關擔任資訊人員,熱愛閱讀與寫作, 即將於致理科技大學進修商務智慧與創新科技研究所碩士班, 研究範圍為AI創新科技領域。 個性情感充沛並且喜歡觀察人群與反思,勇於接受挑戰。 座右銘: 樂觀積極,感恩惜福 www.shammixxd159
office
Python
WordPress
就职中
目前会考虑了解新的机会
全职 / 我只想远端工作
10 到 15 年
致理科技大學
資訊管理系
Avatar of Alex Yu.
Avatar of Alex Yu.
Product Manager @Linker Vision
2023 ~ 现在
PM/產品經理/專案管理
一個月內
— Alex Yu 5+ years experience as an AI engineer, 1.5 years as a co-founder and CPO. PM now. I'm a goal-oriented, self-motivated, and optimistic person. I'm seeking a full-time position that offers professional challenges utilizing interpersonal skills, excellent time management, and problem-solving skills . 工作經歷 JunePresent Product Manager Linker Vision SaaS product - Continuous learning AI platform - DataVerse. List on AWS SaaS marketplace. Product design, user persona analysis, AI industrial research. GTM strategy, LTC, CAC, Retention rate . Vision AI project
Business Development
Deep Learning
PYTHON
就职中
目前会考虑了解新的机会
全职 / 对远端工作有兴趣
4 到 6 年
國立台灣科技大學 National Taiwan University of Science and Technology
電機工程
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ERP資訊工程師-ERP Software Engineer @南茂科技股份有限公司 ChipMOS TECHNOLOGIES
2022 ~ 现在
Engineer, SA, SD, Data Analyst, PM
一個月內
C#
Java
WebMethods
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
國立成功大學 National Cheng Kung University
Industrial and Information Management
Avatar of 賴俊杉.
Avatar of 賴俊杉.
Data Project Manager @永慶房產集團(永慶房屋)
2024 ~ 现在
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
一個月內
作業時間。 - - 使用爬蟲技術爬取相關產業之股價及原物料價格,並整合至營運指標的儀表板。 技能 Python SQL Data Modelling Data Science Data Analysis Data Visualization Machine Learning Project Management FineReport 語言 English — 中階 Chinese — 母語或雙語 學歷國立高雄科技大學(原高雄應用科技大學) 資訊管理所 - 主要論文: 擴充UTAUT理論探討
Python
Data Science
Data Analysis
就职中
目前会考虑了解新的机会
全职 / 对远端工作有兴趣
4 到 6 年
國立高雄科技大學(原高雄應用科技大學)
資訊管理所
Avatar of 鄭凱元.
Avatar of 鄭凱元.
AI Engineer @TSMC 台積電
2022 ~ 现在
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
一個月內
鄭凱元 (Kai-Yuan Cheng) Machine Learning Engineer focusing on super resolution, object detection, and face recognition. Strongly interested in deep learning and computer vision. Graduated from National Taiwan University with Master of Mechanical Engineering. AI/ML Engineer Date of Birth: 1991/8/25 Mobile:E-mail: [email protected] LinkedIn: www.linkedin.com/in/mPROFESSIONAL EXPERIENCE Data Scientist (Computer Vision), TSMC, 2022/4 - Present Super resolution for wafer patch enhancement Computer vision algorithm development. Machine Learning Engineer (Computer Vision), VIVOTEK, 2019//4
Python
machine learning
Linux
就职中
全职 / 对远端工作有兴趣
4 到 6 年
國立臺灣大學
機械工程研究所

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半年內
AI Engineer
歐特明電子股份有限公司
2021 ~ 现在
台灣台北市
专业背景
目前状态
就职中
求职阶段
专业
软体工程师
产业
人工智能 / 机器学习
工作年资
2 到 4 年
管理经历
我有管理 15 人以上的经验
技能
Object detection
Object segmentation
Image Classification
Statistics
语言能力
English
中阶
求职偏好
希望获得的职位
人工智慧工程師、軟體設計工程師、Deep learning engineer、Machine learning engineer、深度學習工程師、機器學習工程師
预期工作模式
全职
期望的工作地点
远端工作意愿
接案服务
学历
学校
國防醫學大學
主修科系
公共衛生學系
列印

陳映竹 ( Joanna)

Aged: 26

Gender: female


Phone: 0916-209-822

Email: [email protected]

Expertise: deep learning, machine learning, statistics

Education

 

Master of Science in Public Health, National Defense Medical Center

Advanced fields: Deep Learning, Data visualization, Statistics, Bioinformatics

2019 - 2021

Bachelor of Science in Public Health, Kaohsiung Medical University

Advanced fields: Biostatistics, Epidemiology, Genetics

2015 - 2019

Project Experience

Dec 2022 - Dec 2023
oToBrite Electronics

Obstacle detection of Auto Parking Assist

Object segmentation, PyTorch

  • Optimize the model architecture to shorten the computation time by 15%. 
  • In 380 test videos, the accuracy of parking space status is over 90%.
  • The model has reached the mass production specifications.  

Dec 2021 - Dec 2022
oToBrite Electronics

Lane Line detection of Lane Departure Warning

Object segmentation, PyTorch 

  • Improve the model IoU by over 10% and achieved a lane detection rate of 98%, with mass production already implemented for two clients. 
  • In 270 test videos, the model achieved a lane-switching detection rate higher than 97% and an off-lane distance accuracy exceeding 85%.

Feb 2021 - Jun 2021
Defense Medical Center 

Assistive Diagnosis of Posterior Circulation Ischemic Stroke

Object segmentationStatistics, MxNet

  • Propose a novel quantitative scale and enhance the accuracy of prognosis for patients with posterior circulation ischemic stroke. 
  • Reduce the time required for evaluating patients' prognoses from 30 minutes to less than 5 minutes.

Jan 2021 - Apr 2021
Defense Medical Center 

Face detection and identity recognition 

Object detection, Verification loss , AppsMxNet

  • Utilize verification loss to quantify similarities among multiple faces for recognizing each face's identity.
  • Once users create their own identity profiles, the model can recognize identities without the need for retraining.  

Expertise


  • Object segmentation
  • Object detection
  • Statistics

Software


  • Python (PyTorch)
  • R (MxNet / Shiny-Apps)
简历
个人档案

陳映竹 ( Joanna)

Aged: 26

Gender: female


Phone: 0916-209-822

Email: [email protected]

Expertise: deep learning, machine learning, statistics

Education

 

Master of Science in Public Health, National Defense Medical Center

Advanced fields: Deep Learning, Data visualization, Statistics, Bioinformatics

2019 - 2021

Bachelor of Science in Public Health, Kaohsiung Medical University

Advanced fields: Biostatistics, Epidemiology, Genetics

2015 - 2019

Project Experience

Dec 2022 - Dec 2023
oToBrite Electronics

Obstacle detection of Auto Parking Assist

Object segmentation, PyTorch

  • Optimize the model architecture to shorten the computation time by 15%. 
  • In 380 test videos, the accuracy of parking space status is over 90%.
  • The model has reached the mass production specifications.  

Dec 2021 - Dec 2022
oToBrite Electronics

Lane Line detection of Lane Departure Warning

Object segmentation, PyTorch 

  • Improve the model IoU by over 10% and achieved a lane detection rate of 98%, with mass production already implemented for two clients. 
  • In 270 test videos, the model achieved a lane-switching detection rate higher than 97% and an off-lane distance accuracy exceeding 85%.

Feb 2021 - Jun 2021
Defense Medical Center 

Assistive Diagnosis of Posterior Circulation Ischemic Stroke

Object segmentationStatistics, MxNet

  • Propose a novel quantitative scale and enhance the accuracy of prognosis for patients with posterior circulation ischemic stroke. 
  • Reduce the time required for evaluating patients' prognoses from 30 minutes to less than 5 minutes.

Jan 2021 - Apr 2021
Defense Medical Center 

Face detection and identity recognition 

Object detection, Verification loss , AppsMxNet

  • Utilize verification loss to quantify similarities among multiple faces for recognizing each face's identity.
  • Once users create their own identity profiles, the model can recognize identities without the need for retraining.  

Expertise


  • Object segmentation
  • Object detection
  • Statistics

Software


  • Python (PyTorch)
  • R (MxNet / Shiny-Apps)