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De 4 a 6 años
6-10 años
10-15 años
Más de 15 años
Avatar of 潘揚燊.
Avatar of 潘揚燊.
智慧製造全端開發工程師 @聯華電子股份有限公司
2022 ~ Presente
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
En un mes
潘揚燊 ㄕㄣ Shen Pan Kaohsiung City,Taiwan •  [email protected] 希望職務:人工智慧、機器視覺應用開發工程師 現任 : 聯華電子 RPA 平台全端開發工程師 您好,我是潘揚燊,目前任職於 聯華電子 , 擔任 智慧製造 全端開發工程師 , 畢業於元智大學工業工程與管理學系研
Python
Qt
Git
Empleado
Listo para la entrevista
A tiempo completo / Interesado en trabajar a distancia
De 4 a 6 años
元智大學 Yuan Ze University
工業工程與管理學系所
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Avatar of the user.
Senior engineer @Chicony Electronics Co, Ltd.
2018 ~ Presente
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
En un mes
Python
C
C++
Empleado
Listo para la entrevista
A tiempo completo / Interesado en trabajar a distancia
6-10 años
National Taiwan Ocean University
Computer science and engineering
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
En un mes
Front-End Development
Front-End Web Development
Javascript(ES6)
Desempleado
Listo para la entrevista
A tiempo completo / Interesado en trabajar a distancia
6-10 años
國立中山大學 National Sun Yat-Sen University
Computer Science
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Avatar of the user.
全端工程師 @中冠資訊股份有限公司
2021 ~ Presente
網站後端工程師
En un mes
Vue.js
Node.js / Express.js
k8s
Empleado
Listo para la entrevista
A tiempo completo / Interesado en trabajar a distancia
6-10 años
清華大學 National Tsing Hua University
核子工程 nuclear engineering
Avatar of 鄒適文.
Avatar of 鄒適文.
Past
Lead Data Scientist / Senior Data Scientist @Vinnovation Network 維諾森資訊科技
2022 ~ 2023
資料科學家、資料科學工程師、機器學習工程師
En un mes
Shih-Wen Tsou - With more than 5 years of experience in Data Analysis, Machine Learning and Deep Learning, familiar with Modeling, Data Analysis, Image Processing, Machine Learning, and Deep Learning. Taipei City, Taiwan WORK EXPERIENCE Lead Data Scientist / Full Stack Data Scientist, Vinnovation Network, Taipei, Taiwan Data Engineering / Data Analysis Spearheaded the development of a fully automated data integration pipeline that aggregated diverse data sets into a S3 Data Lake. Successfully integrated a range of data sources, including real-time data feeds from AWS Redshift and DocumentDB, as well as batch processes to import traditional CSV
python
tensorflow
keras
Desempleado
Listo para la entrevista
A tiempo completo / Interesado en trabajar a distancia
De 4 a 6 años
台灣大學
大氣科學所
Avatar of Shammi HSIEH.
Avatar of Shammi HSIEH.
資訊人員 @新北市淡水區公所
2023 ~ Presente
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
En un mes
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
Empleado
Abierto a oportunidades
A tiempo completo / Sólo a distancia
10-15 años
致理科技大學
資訊管理系
Avatar of 賴俊杉.
Avatar of 賴俊杉.
Data Project Manager @永慶房產集團(永慶房屋)
2024 ~ Presente
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
En un mes
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
Empleado
Abierto a oportunidades
A tiempo completo / Interesado en trabajar a distancia
De 4 a 6 años
國立高雄科技大學(原高雄應用科技大學)
資訊管理所
Avatar of Alex Yu.
Avatar of Alex Yu.
Product Manager @Linker Vision
2023 ~ Presente
PM/產品經理/專案管理
En un mes
— 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
Empleado
Abierto a oportunidades
A tiempo completo / Interesado en trabajar a distancia
De 4 a 6 años
國立台灣科技大學 National Taiwan University of Science and Technology
電機工程
Avatar of 陳弘峻.
Avatar of 陳弘峻.
數據分析師 @忠訓國際
2022 ~ Presente
數據分析師、資料科學家
En un mes
Movie Reviews),人臉情緒辨識 (Kaggle:Facial Expression Recognition Challenge)、圖像辨識(cifar-10資料集)...等等相關的分析。 [email protected] || 技能 Tech Stack Python Mysql MongoDB Docker Linux Tableau Hadoop Scikit-Learn Deep Learning Tensortflow 專案 Crawler with Docker 將以Celery為基礎的分散式架構,運用在多隻網頁爬蟲上。 並將其容器化運行於Docker當中,並藉由Docker Swarm將派發
Python
MySQL
MongoDB
Empleado
Abierto a oportunidades
A tiempo completo / Interesado en trabajar a distancia
6-10 años
逢甲大學 Feng Chia University
財務金融
Avatar of 陳惠龍.
Avatar of 陳惠龍.
Data science lecturer @Ittraining
2020 ~ Presente
Data Scientist 資料科學家_數據分析師
En un mes
HUEY-LONG CHEN 陳惠龍 Kaggle Competitions Expert: https://www.kaggle.com/alanchen1115 Competitions: NLP (自然語言處理): - Silver medal (solo): (Kaggle) The Learning Agency Lab - PII Data Detection: Develop automated techniques to detect and remove PII from educational data. 2024/04/24 - Silver medal (solo): (Kaggle) U.S. Patent Phrase to Phrase Matching: Help Identify Similar Phrases in U.S. Patents, 2022/06/21 Recommendation system (推薦系統): - Silver medal (solo): (Kaggle) OTTO – Multi-Objective Recommender System: Build a
nlp-rasa
recommender system
pytorch tensorflow
Empleado
Abierto a oportunidades
A tiempo parcial / Interesado en trabajar a distancia
Más de 15 años
Purdue University
School of civil engineering (Stochastic & statistical hydrology)

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En seis meses
AI Engineer
歐特明電子股份有限公司
2021 ~ Presente
台灣台北市
Professional Background
Situación actual
Empleado
Progreso en la búsqueda de empleo
Professions
Software Engineer
Fields of Employment
Inteligencia Artificial / Aprendizaje Automático
Experiencia laboral
2-4 años
Management
I've had experience in managing 15+ people
Habilidades
Object detection
Object segmentation
Image Classification
Statistics
Idiomas
English
Intermedio
Job search preferences
Posición
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
Tipo de trabajo
A tiempo completo
Ubicación
A distancia
Freelance
Educación
Escuela
國防醫學大學
Mayor
公共衛生學系
Imprimir

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
Perfil

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)