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4-6 years
6-10 years
10-15 years
More than 15 years
Algorithm Research & Development @適着三維科技股份有限公司 TG3D Studio Inc.2021 ~ Present
・
Software Engineer
Within one month
enabling accurate tracking and analysis of workout routines. Skeleton Detection Motion Classification Body AI: 3D Body Data Analysis Engage in a variety of AI side projects focused on leveraging 3D body data, encompassing tasks such as Body ID Recognition, Body Measurements Prediction, and Body Shape Classification. Mesh Data Processing Body Modulization: SMPL Project Engineer • Acer Inc. JanMay 2021 Working in research and development (RND), I provided demand analysis, conceived system architecture, and developed core technology in AI projects Medical AI: Cancer Cells Detection Designed an image preprocessing algorithm and conducted training and optimization for a cancer cell
Employed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
國立台灣大學
・
生物產業機電工程所
Senior Software Engineer @FIH Moblie LTD.2019 ~ Present
・
Android Developer
Within one month
宋立文 LiWenSung Software Engineer Experienced software engineer with a strong background in C/C++ development, specializing in MQTT applications using macchina.io and Mosquitto. Proven ability to independently learn and adapt to new technologies and take ownership of complex projects. Seeking opportunities to leverage my skills and expertise in a dynamic software development environment. Taoyuan(Nankan)，Taiwan [email protected] Programming Languages: C/C++ , Java Software Development: macchina.io, Mosquitto, Android BSP, Android Framework, Android App Development, OMA-DM Protocol . MQTT (Message Queuing Telemetry
Employed
・
Open to opportunities
Full-time / Interested in working remotely
4-6 years
National Chung Cheng University
・
Computer Science & Information Engineering
Senior Software Engineer @NVIDIA2023 ~ Present
・
Software Developer
Within one month
張安邦 Experienced C++ programmer, AI/ML and HPC developer. https://clehaxze.tw/ Taipei，Taiwan [email protected] Work experience Senior Software Engineer - NVIDIA，2023/11 - NOW Develops graphics applications and high performance libraries in C++ and Python. C++ developer - Lumina Inc，2021//11 Native application team lead. Design high performance and high momentum architecture, integrating modern C++ technology into software stacks. Handling image processing pipelines, IPC communication, deployment to customer environment, etc.. Also introduces
Employed
・
Not open to opportunities
Full-time / Interested in working remotely
4-6 years
國立中山大學
・
CSE
Consultant - 資深 UI/UX 專員 @英屬維京群島商瑞嘉耐思科技有限公司台灣分公司2019 ~ Present
・
UX Designer
Within one month
home appliances. 4、Linkage of machine and mobile phone. 5、Draw product character illustrations and plan the layout of the Tokyo Game Show in Japan Dongwaton Biotech Co., Ltd 2014 /6 ~ 2015/7 ▪ Special Assistant - Marketing Planning Supervisor -Online shopping: product marketing, product listing, image processing, APP. 1. Dongsen, VIVA, PCHOME, United Daily News, Songguo Shopping, 91APP, shopline, facebook, etc., carry out product listings and create product-related information. 2、 Understand the commission of each online platform, and discuss product activities with the business. 3、 Create graphics and banners
Employed
Full-time / Interested in working remotely
6-10 years
龍花科技大學
・
電子工程
Past
網頁程式開發（後端） @Evision Solution2019 ~ 2021
・
Software Engineer
Within one month
as expected, CI/CD still have some benefit on code quality. We can not really benefit from CI/CD, because we still have some work not yet finished: database migration, test coverage...etc. Papyless Co.,Ltd, Software Engineer , Mar 2018 ~ SepDevelop some image transform toolkit. - Develop a brand new item manage systemTechnicsProgram Language: PHP, Node JS Database: MySql, Reddis Framework: Laravel Version Control: GitDescThe most I've done is to improve efficiency of back-end system. To do that we imported reddis cluster and upgraded some image processing tools via
Unemployed
Full-time / Remote Only
6-10 years
National University of Kaohsiung
・
Computer Science and Information Engineering
Past
資訊工程師 @六點資訊科技有限公司2023 ~ 2024
・
軟體工程師
Within one month
Sean Wang Hello, I'm Sean. With over 9 years of extensive experience in software development, I excel in employing divergent thinking to address abstract client requirements and tackle various implementation challenges within systems. I specialize in integrating diverse user contexts and crafting solutions based on available resources. I enjoy analyzing the essence of things through multidimensional observation. New Taipei City, [email protected] Academic qualifications 2008//06 Chihlee University of Technology Information management Bachelor's graduation 2005//06 Ger Jyh Senior High School Data Processing Department Vocational
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
6-10 years
致理科技大學 Chihlee University of Technology
・
Information Management
Data science lecturer @Ittraining2020 ~ Present
・
Data Scientist 資料科學家_數據分析師
Within one month
recommendations based on previous purchases, 2022/05/10 Feature engineering (特徵工程): - Silver medal (solo): (Kaggle) 1st and Future - Player Contact Detection: Detect Player Contacts from Sensor and Video Data, 2023/03/03 AIGC (生成式AI): - Bronze medal (solo): (Kaggle) Stable Diffusion - Image to Prompts: Deduce the prompts that generated our "highly detailed, sharp focus, illustration, 3d renders of majestic, epic" images, 2023/05/16 Object detection (目標檢測): - 4th place (solo): (Aidea AI CUP) 肺腺癌病理切片影像之腫瘤氣
Employed
・
Open to opportunities
Part-time / Interested in working remotely
More than 15 years
Purdue University
・
School of civil engineering (Stochastic & statistical hydrology)
Software Engineer @OpenNet Limited2024 ~ Present
・
Senior Software Engineer
Within one month
Employed
・
Open to opportunities
Full-time / Interested in working remotely
10-15 years
資策會_財團法人資訊工業策進會
・
Java軟體工程師就業養成班Technical Manager @Ambarella Inc.2014 ~ Present
・
Within one month
Employed
Full-time
10-15 years
元智大學 Yuan Ze University
・
computer scienceEmployed
・
Not open to opportunities
Full-time / Interested in working remotely
10-15 years
National Taiwan University
・
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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
Ability to prioritize tasks based on importance; and have them completed within the assigned timeline.
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.
Professional Background
Current status
Employed
Job Search Progress
Open to opportunities
Professions
Data Engineer, Machine Learning Engineer, Software Engineer
Fields of Employment
Artificial Intelligence / Machine Learning, Big Data, Software
Work experience
Less than 1 year
Management
None
Skills
Languages
English
・
Intermediate
Chinese
・
Native or Bilingual
Job search preferences
Positions
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
Job types
Full-time
Locations
Hsinchu, Taiwan, 台灣苗栗, 台灣新竹市新竹, 台灣新竹縣
Remote
Interested in working remotely
Freelance
No
Educations
School
國立臺灣師範大學 National Taiwan Normal University
Major
資訊工程學系
陳彥合 (Henry)
專案經歷: 醫療應用、資料視覺化、自然語言處理、機器學習、深度學習、影像分類、物件偵測/追蹤、網路爬蟲。
碩士研究Zero-Shot Learning: 如何在缺少視覺樣本情況下，引入第三方資料(語義)，來解決影像辨識任務。
目前於台達研究院(DRC)擔任資深研發工程師，主要負責AI應用研究與開發，包含API撰寫、分析數據、架構規劃。
已發表 2篇國際會議論文、1篇國際期刊 (另有1篇專利、1篇期刊審核中)。
學歷
碩士, 資訊工程學系, 國立臺灣師範大學 2020/09~2022/07
學士, 醫療資訊學系, 高雄醫學大學 2014/09~2018/06
發表論文
Self-Supervised Learning of Pseudo Classes for Generalized Zero-Shot Fine-Grained Recognition
Yan-He Chen and Mei-Chen Yeh Multimedia Tools and Applications (IF: 3.6) 2024
Weakly- and Semi-Supervised Object Localization
Zhen-Tang Huang, Yan-He Chen and Mei-Chen Yeh IEEE ICASSP [paper] 2023
Text-Enhanced Attribute-Based Attention for Generalized Zero-Shot Fine-Grained Image Classification
Yan-He Chen and Mei-Chen Yeh ACM ICMR [paper] 2021
經歷
台達電子, 台達研究院(DRC) 2023/01~現在
資深研發工程師
- 一篇專利
- 讀論文以及實現SOTA方法
- 改善現在的深度模型於現實應用的效能及效率。
- 整合多個深度模型及演算法、並部屬至多個操作系統、撰寫API。
- 分析AI方法與現實世界的應用場景之差距, 提出解決方案- Android App架構規劃及流程設計
- 專案涉及深度模型:
• Balance Estimation • Head Pose Estimation • Action Recognition
• Face Detection • Human Pose Estimation • Abnormal Video Detection
• Gaze Estimation • Object Tracking
國立台灣師範大學, 資訊工程學系 2022/09~2023/01
研究助理
- 研究零樣本學習(zero-hot learning) 與 自監督學習(self-supervised)
在影像辨識分割(recognition, segmentation)、物件偵測(detection)的可行性發展
國立成功大學, 資訊工程學系 2018/02~2018/10
研究助理
- 開發網路爬蟲: 爬取非結構式資料、清理、過濾資料，共 1280 億個文字
- 自然語言處理: 訓練文字模型(word2vec, seq2seq)、共 2 億條句子、1TB 容量；生成問答句子
- 成大醫院專案: 設計與開發病患專用 android app, 用以蒐集病患之語音、視訊、文字、表情資料；
建立後端平台、資料庫、整合深度學習模型(語音,文字)，用以分析病患之情緒；
將分析結果資料視覺化，輔助醫師診斷
學生計畫
國立台灣大學 (科技部計畫) 2022/02~2022/08
- 研究 Metric learning、GAN，用於提升 Generalized Zero-Shot Learning 的影像辨識任務。
成果: 研究發表於 Multimedia Systems (Journal) 2024
國立臺灣師範大學, 資訊工程學系 (科技部計畫) 2021/03~2021/08
- 研究zero-shot learning，改善一篇CVPR 2020的研究，提升 5% 辨識率
成果: 研究已發表於 ACM ICMR 2021
高雄醫學大學, 職能治療學系 (科技部計畫) 2017/10~2018/06
- 電腦化注意力測試系統建置: C#開發系統，減少人工紀錄所消耗時間、及降低紀錄失誤率。
成果: 復健者平均測驗時間縮短 10 分鐘。
高雄醫學大學, 高醫附設醫院內科部 (院內計畫) 2017/09~2018/06
- 設計與建置心智圖人型化病歷紀錄與診療輔助系統，縮短醫師操作時間
成果: 整合各科檢驗項目，加速醫師查閱病歷時間
技能
程式語言
Java, Python
深度學習框架
Pytorch, TensorFlow
軟體&系統&伺服器
Linux, Windows, MySQL,
Web, Android App
獎項
優秀研究生獎 2021
國立臺灣師範大學, 資訊工程學系
繁體中文場景文字辨識-高階賽, 排名 7/128 2021
教育部, AI-CUP
- 訓練 Yolov5 偵測模型，偵測複雜街景中之繁體中文、英文、數字等
配合 PaddleOCR 辨識模型，辨識繁體中文字
成果: 文字偵測準確度為 Precision = 89.34%, Recall = 86.68%
辨識準確度為 86.71%
防疫Open Data應用競賽, 網路票選實用獎 2016
衛福部疾病管制署
- 分析全台各地傳染病變化、以地圖、統計圖視覺化疫情趨勢，建立熱點資訊
陳彥合 (Henry)
專案經歷: 醫療應用、資料視覺化、自然語言處理、機器學習、深度學習、影像分類、物件偵測/追蹤、網路爬蟲。
碩士研究Zero-Shot Learning: 如何在缺少視覺樣本情況下，引入第三方資料(語義)，來解決影像辨識任務。
目前於台達研究院(DRC)擔任資深研發工程師，主要負責AI應用研究與開發，包含API撰寫、分析數據、架構規劃。
已發表 2篇國際會議論文、1篇國際期刊 (另有1篇專利、1篇期刊審核中)。
學歷
碩士, 資訊工程學系, 國立臺灣師範大學 2020/09~2022/07
學士, 醫療資訊學系, 高雄醫學大學 2014/09~2018/06
發表論文
Self-Supervised Learning of Pseudo Classes for Generalized Zero-Shot Fine-Grained Recognition
Yan-He Chen and Mei-Chen Yeh Multimedia Tools and Applications (IF: 3.6) 2024
Weakly- and Semi-Supervised Object Localization
Zhen-Tang Huang, Yan-He Chen and Mei-Chen Yeh IEEE ICASSP [paper] 2023
Text-Enhanced Attribute-Based Attention for Generalized Zero-Shot Fine-Grained Image Classification
Yan-He Chen and Mei-Chen Yeh ACM ICMR [paper] 2021
經歷
台達電子, 台達研究院(DRC) 2023/01~現在
資深研發工程師
- 一篇專利
- 讀論文以及實現SOTA方法
- 改善現在的深度模型於現實應用的效能及效率。
- 整合多個深度模型及演算法、並部屬至多個操作系統、撰寫API。
- 分析AI方法與現實世界的應用場景之差距, 提出解決方案- Android App架構規劃及流程設計
- 專案涉及深度模型:
• Balance Estimation • Head Pose Estimation • Action Recognition
• Face Detection • Human Pose Estimation • Abnormal Video Detection
• Gaze Estimation • Object Tracking
國立台灣師範大學, 資訊工程學系 2022/09~2023/01
研究助理
- 研究零樣本學習(zero-hot learning) 與 自監督學習(self-supervised)
在影像辨識分割(recognition, segmentation)、物件偵測(detection)的可行性發展
國立成功大學, 資訊工程學系 2018/02~2018/10
研究助理
- 開發網路爬蟲: 爬取非結構式資料、清理、過濾資料，共 1280 億個文字
- 自然語言處理: 訓練文字模型(word2vec, seq2seq)、共 2 億條句子、1TB 容量；生成問答句子
- 成大醫院專案: 設計與開發病患專用 android app, 用以蒐集病患之語音、視訊、文字、表情資料；
建立後端平台、資料庫、整合深度學習模型(語音,文字)，用以分析病患之情緒；
將分析結果資料視覺化，輔助醫師診斷
學生計畫
國立台灣大學 (科技部計畫) 2022/02~2022/08
- 研究 Metric learning、GAN，用於提升 Generalized Zero-Shot Learning 的影像辨識任務。
成果: 研究發表於 Multimedia Systems (Journal) 2024
國立臺灣師範大學, 資訊工程學系 (科技部計畫) 2021/03~2021/08
- 研究zero-shot learning，改善一篇CVPR 2020的研究，提升 5% 辨識率
成果: 研究已發表於 ACM ICMR 2021
高雄醫學大學, 職能治療學系 (科技部計畫) 2017/10~2018/06
- 電腦化注意力測試系統建置: C#開發系統，減少人工紀錄所消耗時間、及降低紀錄失誤率。
成果: 復健者平均測驗時間縮短 10 分鐘。
高雄醫學大學, 高醫附設醫院內科部 (院內計畫) 2017/09~2018/06
- 設計與建置心智圖人型化病歷紀錄與診療輔助系統，縮短醫師操作時間
成果: 整合各科檢驗項目，加速醫師查閱病歷時間
技能
程式語言
Java, Python
深度學習框架
Pytorch, TensorFlow
軟體&系統&伺服器
Linux, Windows, MySQL,
Web, Android App
獎項
優秀研究生獎 2021
國立臺灣師範大學, 資訊工程學系
繁體中文場景文字辨識-高階賽, 排名 7/128 2021
教育部, AI-CUP
- 訓練 Yolov5 偵測模型，偵測複雜街景中之繁體中文、英文、數字等
配合 PaddleOCR 辨識模型，辨識繁體中文字
成果: 文字偵測準確度為 Precision = 89.34%, Recall = 86.68%
辨識準確度為 86.71%
防疫Open Data應用競賽, 網路票選實用獎 2016
衛福部疾病管制署
- 分析全台各地傳染病變化、以地圖、統計圖視覺化疫情趨勢，建立熱點資訊