CakeResume Talent Search

上級
On
4〜6年
6〜10年
10〜15年
15年以上
Avatar of 邱義塵.
Avatar of 邱義塵.
Past
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
1ヶ月以内
邱義塵 於獨角獸多媒體設計有限公司擔任 遊戲測試工程師一職 建立公司測試團隊的測試流程和撰寫自動化測試程式 SDET、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 城市,TW [email protected] 工作經歷 獨角獸多媒體
Python
Data Analysis
Data Science
無職
面接の用意ができています
フルタイム / リモートワークに興味あり
6〜10年
中國醫藥大學(China Medical University)
臨床醫學研究所
Avatar of the user.
Avatar of the user.
Senior engineer @Chicony Electronics Co, Ltd.
2018 ~ 現在
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
1ヶ月以内
Python
C
C++
就職中
面接の用意ができています
フルタイム / リモートワークに興味あり
6〜10年
National Taiwan Ocean University
Computer science and engineering
Avatar of 陳勤霖.
Avatar of 陳勤霖.
Past
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
1ヶ月以内
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
無職
面接の用意ができています
フルタイム / リモートワークに興味あり
4〜6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 ~ 現在
Software Engineer
1ヶ月以内
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
就職中
面接の用意ができています
フルタイム / リモートワークに興味あり
4〜6年
國立台灣大學
生物產業機電工程所
Avatar of 王文祥.
Avatar of 王文祥.
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
1ヶ月以内
such as OpenCV, Scikit-Image, scikit-learn, NumPy, Matplotlib, PyQt5, etc., to implement various functionalities. Additionally, I possess the ability to develop mobile applications using Django and React Native. I am proficient in using testing frameworks, GitHub for version control, and Docker for deployment. . Machine Learning and Deep Learning Here is a summary of the relevant technologies in the field of machine learning that I have researched and become familiar with over the past year: Numpy (Numerical Computing Library) : Numpy is one of the core libraries for numerical computing in Python. It provides powerful
Python
AOI
MES
就職中
面接の用意ができています
フルタイム / リモートワークのみ
10〜15年
崑工科技大學
電子工程
Avatar of the user.
Avatar of the user.
Past
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
1ヶ月以内
Front-End Development
Front-End Web Development
Javascript(ES6)
無職
面接の用意ができています
フルタイム / リモートワークに興味あり
6〜10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 ~ 現在
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
1ヶ月以内
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
就職中
就職希望
フルタイム / リモートワークのみ
10〜15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 ~ 現在
PM/產品經理/專案管理
1ヶ月以内
— 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
就職中
就職希望
フルタイム / リモートワークに興味あり
4〜6年
國立台灣科技大學 National Taiwan University of Science and Technology
電機工程
Avatar of the user.
Avatar of the user.
ERP資訊工程師-ERP Software Engineer @南茂科技股份有限公司 ChipMOS TECHNOLOGIES
2022 ~ 現在
Engineer, SA, SD, Data Analyst, PM
1ヶ月以内
C#
Java
WebMethods
就職中
就職希望
フルタイム / リモートワークに興味あり
6〜10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 ~ 現在
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
1ヶ月以内
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
就職中
就職希望
フルタイム / リモートワークに興味あり
4〜6年
國立高雄科技大學(原高雄應用科技大學)
資訊管理所

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Definition of Reputation Credits

Technical Skills
Specialized knowledge and expertise within the profession (e.g. familiar with SEO and use of related tools).
Problem-Solving
Ability to identify, analyze, and prepare solutions to problems.
Adaptability
Ability to navigate unexpected situations; and keep up with shifting priorities, projects, clients, and technology.
Communication
Ability to convey information effectively and is willing to give and receive feedback.
Time Management
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Teamwork
Ability to work cooperatively, communicate effectively, and anticipate each other's demands, resulting in coordinated collective action.
Leadership
Ability to coach, guide, and inspire a team to achieve a shared goal or outcome effectively.
6ヶ月以内
AI Engineer
歐特明電子股份有限公司
2021 ~ 現在
台灣台北市
Professional Background
現在の状況
就職中
求人検索の進捗
Professions
Software Engineer
Fields of Employment
人工知能/機械学習
職務経験
2〜4年
Management
I've had experience in managing 15+ people
スキル
Object detection
Object segmentation
Image Classification
Statistics
言語
English
中級者
Job search preferences
希望のポジション
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
求人タイプ
フルタイム
希望の勤務地
リモートワーク
Freelance
学歴
学校
國防醫學大學
専攻
公共衛生學系
印刷

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)
Resume
プロフィール

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)