CakeResume 找人才
進階搜尋
On
4 到 6 年
6 到 10 年
10 到 15 年
15 年以上
曾任
Institutional Product Manager @Binance2022 ~ 2023
・
Business Development / Product Manager / Product Marketing/ Strategy Manager
一個月內
待業中
・
正在積極求職中
全職 / 對遠端工作有興趣
6 到 10 年
國立清華大學(National Tsing Hua University, NTHU)
・
科技管理
Vice President @Somnics, Inc.2011 ~ 現在
・
中高階主管
兩個月內
Daniel Yu Vice President Taiwan - Experienced Vice President with a demonstrated history of working in design, development and manufacturing of medical devices in the biological industry. (11 years' experience in Somnics, Inc.) - Skilled in design and development of innovative bio-technologies, including microfluidic, wound care, health care and surgical equipment. (7 years' experience in ITRI) - Strong professional with a Ph.D. focused in the research of organic optoelectronic tweezers (OET) and opto-electrowetting (OEW) for control cell and droplet movement in the microfluidic system. (6 years' experience in NCTU and NTHU) 工作經
就職中
・
目前會考慮了解新的機會
全職 / 對遠端工作有興趣
15 年以上
National Chiao Tung University
・
ElectrophysicsInstructor @Digi+ Program in NHRI (Genomics Analysis and Precision Medicine)2022 ~ 現在
・
工程師
三個月內
就學中
全職 / 對遠端工作有興趣
6 到 10 年
National Chung Hsing University
・
Biomedical
Backend Team Lead @Cooby 酷比數位科技股份有限公司2022 ~ 2023
・
Backend Developer
一個月內
戲設計獎 第二名(巴克棋 Bucky Chess) 第四屆「台灣原創遊戲大賞」 入圍獎 (巴克棋 Bucky Chess) 學歷 Education國立清華大學, 資訊系統及應用研究所 NTHU, Master of Institute of Information Systems and Applications Lab Computer Graphic & Vision (CGV) GPA 4.18 Thesis Real-Time Augmented Reality Navigation System using GPS and ARCore國立交通大學, 電子物理系 NCTU, Bachelor of Electric Physics 作品 Portfolio VR-biking
就職中
全職 / 對遠端工作有興趣
4 到 6 年
國立清華大學
・
資訊系統與應用全職 / 對遠端工作有興趣
6 到 10 年
National Taiwan University
・
multimedia
產品經理 @CMoney全曜財經資訊股份有限公司2022 ~ 2023
・
產品經理
一個月內
Rayer Sung [email protected] Education Master degree, Economics, NTHUBachelor degree, Chemistry, NTUWork Experience Sr. Product Manager at CMoney | AugJun 2023 CMoney is the most famous investing software brand in Taiwan. I performed Sr. Product Manager of 股市爆料同學會、籌碼K線 and 價值K線，which's traffic was nearly 1M/60K/30K MAU respectively. My major contributions would be improving product user experience and introducing project management tool such as Jira/Asana to the team. Product Owner at Snapask | NovJun 2021
全職 / 暫不考慮遠端工作
10 到 15 年
清華大學
・
經濟
Research Engineer
一年內
Utility patent ( Mwas accepted in AugOpenCV Official Training DEEP LEARNING WITH PYTORCH Focus on deep learning 2020 OpenCV Official Training COMPUTER VISION 2 Especially focus on face recognition and plate recognition 2020 Publish conference paper in the CVGIP 2020 TOPIC: A VISION-BASED PITCHER RELEASE POINT DETECTION SYSTEM, Hoster : NCTU, NTHU, and IPPR 2019 OpenCV Official Training COMPUTER VISION 1 Especially focus on Feature matching, non-leaning based object tracking, and image processing 2018 Microsoft R for Data Science Certification 2017 Bronze Medal Award with Honourable Mention in 2017 Creative Software Applications Contest Hoster : National Central University 全國大
就學中
實習生 / 對遠端工作有興趣
4 到 6 年
National Chiao Tung University
・
Computer Science
Senior Machine Learning Engineer @C-Media Electronics2020 ~ 2021
・
Machine Learning Scientist, Data Scientist
一個月內
Hao-Chun (Chad) Yang Ph.D Ph.D Graduate @NTHU (EE) | Seeking AI/ML R&D Position | Speech, IOT, Health Informatics, Computational Neuroscience | pytorch, tensorflow Room 315, General Building III, No. 101, Section 2, Kuang-Fu Road,Hsinchu City, Taiwan Skills Programming Programming: Python, Matlab DevOps: AWS, GCP, Git, Docker Deep Learning: Pytorch, Tensorflow, Keras ML& Data Science: Sklearn, Numpy, Pandas, Matplotlib MLOps: MLflow, W&B Special HonorsBest Challenge Poster - Physionet/CINC ChallengeTravel Grants - IEEE SPS SocietyPresident Scholarship - NTHU Education National Tsing Hua University Ph.D. in Electrical Engineering (SepPresent) National Tsing
服兵役中
全職 / 對遠端工作有興趣
4 到 6 年
清華大學
・
電機工程
Ph.D. Student @NTHU
Software engineer
半年內
Meng-Shiun(Kobe) Yu Email: Kobeyu.tw at gmail.com I'm currently an NPU compiler engineer at Kneron, also a Ph.D. student at the department of computer science, National Tsing Hua University, Taiwan. My research interests include compiler and runtime for deep learning accelerator; architecture/performance evaluations; compiler designs and optimizations. Education Ph.D., Department of Computer Science, National Tsing Hua University 2017/9 ~ Present Advisor: Jenq-Kuen Lee M.A., Department of Electrical Engineering, National Chung Cheng University 2006/9 ~ 2008/10 Advisor
6 到 10 年
國立清華大學
・
Computer Science
Senior Software Engineer @TomTom2018 ~ 現在
・
Senior Software Engineer
一年內
謝泓廷 (Vincent Hsieh) My dream is to be one of the contributors of world-class software which really facilitate people's daily life. When I graduate from NTHU, I learn android starting from a famous smart phone manufacture. In that period, in addition to the android framework, I further have experience to co-work with product manager and UX designer to come up with great software that million of user need. Moreover, I have experience in the past two year to co-work with oversea team in Europe to develop the world-class navigation software
就職中
全職 / 對遠端工作有興趣
6 到 10 年
National Tsing Hua University
・
Information System and Application最輕量、快速的招募方案，數百家企業的選擇
搜尋履歷，主動聯繫求職者，提升招募效率。
- 瀏覽所有搜尋結果
- 每日可無限次數開啟陌生對話
- 搜尋僅開放付費企業檢視的履歷
- 檢視使用者信箱 & 電話
搜尋技巧
1
嘗試搜尋最精準的關鍵字組合
資深 後端 php laravel
2
將須完全符合的字詞放在雙引號中
"社群行銷"
3
在不想搜尋到的字詞前面加上減號，如果想濾掉中文字，需搭配雙引號使用 (-"人資")
UI designer -UX
職場能力評價定義
專業技能
該領域中具備哪些專業能力（例如熟悉 SEO 操作，且會使用相關工具）。
問題解決能力
能洞察、分析問題，並擬定方案有效解決問題。
變通能力
遇到突發事件能冷靜應對，並隨時調整專案、客戶、技術的相對優先序。
溝通能力
有效傳達個人想法，且願意傾聽他人意見並給予反饋。
時間管理能力
了解工作項目的優先順序，有效運用時間，準時完成工作內容。
團隊合作能力
具有向心力與團隊責任感，願意傾聽他人意見並主動溝通協調。
領導力
專注於團隊發展，有效引領團隊採取行動，達成共同目標。
專業背景
目前狀態
就學中
求職階段
專業
軟體工程師, Python 開發人員, 機器學習工程師
產業
軟體, 人工智慧 / 機器學習, 機器人科學
工作年資
小於 1 年
管理經歷
無
技能
語言能力
English
・
專業
German
・
進階
Chinese
・
母語或雙語
求職偏好
希望獲得的職位
Software Engineer
預期工作模式
全職
期望的工作地點
台灣台北市, 台灣新北市, 台灣新竹市新竹, 台灣桃園
遠端工作意願
對遠端工作有興趣
接案服務
否
學歷
學校
國立清華大學
主修科系
資訊應用研究所
林佳縈 Chia Ying Lin
Computer Vision Reseacher
Computer Vision Lab, NTHU
With 4-year solid training in computer science fundamentals, 2-year independent research experience in computer vision, and diverse hands-on development experiences, I always pursue excellence, crave new challenges, and am open to all possibilities.
https://github.com/lykasbongbongbong
Skills
Languages
- Python (familiar)
- C++, C
- JAVA
Deep Learning Frameworks
- PyTorch (familiar)
- Tensorflow
CV & DL Libraries
- OpenCV
- Keras
Development Tools
- Git/Github
- RESTFul APIs
Web Development
- HTML, CSS, JS
- Python Flask
- PHP, Laravel
- MySQL, NoSQL(mongoDB)
- AWS
Others
- English TOEFL iBT 97
- English TOEIC 935
- German B2
Education
Master's Studies, Computer Vision Lab, NTHU
Dept. Information Systems and Application, Sep 2020~Now
- Anomaly detection and segmentation for smart manufacturing as primary research target
Bachelor Degree, WASN Lab, NCU
Dept. Computer Science, Sep 2016 ~ June 2020
Exchange Student, Hochschule München, Germany
Dept. Informatik (Computer Science), Sep 2019 ~ Feb 2020
Experiences
August 2021
Attendee,
Machine Learning Summer School, NTU
August 2021
Backend Developer (Anomaly Detection Demo Website),
CVLab, FUTEX 2021
- Use Python Flask, MySQL for RestFul APIs development
- Optimized backend system with Python threading to support sudden massive traffic
June 2018 ~ July 2019, 1y1m
Full-Stack Web Developer (NCU Internship Web)
Career Center NCU
- Reconstruct website with Laravel Framework
- Optimize backend and database to handle larger amounts of access
- Over 30% of users received intern opportunities via this site
- Website Link: https://ncuinternship.careercenter.ncu.edu.tw/
Master Thesis:
SABDN: Self-Attention Based Deviation Network for few-shot anomaly detection and segmentation (Under Review ECCV 2022)
Contributions
- Combine self-attention mechanism with feature extraction CNN network and anomaly synthesis mechanism for anomaly scoring to achieve outstanding anomaly detection accuracy under few-shot setting
- Reach SOTA performance on benchmark dataset MVTecAD dataset and BTAD dataset with over 90 percent reduction in training data requirements
Side Projects
GlueGAN: a generative model based on SuperGlue structure
- Extend MagicLeap’s SuperGlue end-to-end GNN concept for object synthesis to solve synthetic object image generation problem
- 10% accuracy improvement compared to initial GAN backbone
Let's play GAN with flows and friends!
- Generate synthetic object images with multi-label conditions with conditional GAN manner
- Human faces generation by conditional normalizing flow
2048: by Temporal Difference Learning Approach (RL)
- Construct TD-learning algorithm and design own n-tuple network to solve 2048 game
- Reach 98% 2048-tile win rate in 1000 games
The LunarLander: under Deep Q-Network and DDPG manner (RL)
- Implement DQN and DDPG network to solve LunarLander game problem
- Thoroughly understand Deep Q-learning, actor-critic mechanism
Real-Time car detection and counting system
- Retrain YOLOv3 with our own hatchback dataset
- Reach average accuracy: 99% on both day-light and evening scenarios
林佳縈 Chia Ying Lin
Computer Vision Reseacher
Computer Vision Lab, NTHU
With 4-year solid training in computer science fundamentals, 2-year independent research experience in computer vision, and diverse hands-on development experiences, I always pursue excellence, crave new challenges, and am open to all possibilities.
https://github.com/lykasbongbongbong
Skills
Languages
- Python (familiar)
- C++, C
- JAVA
Deep Learning Frameworks
- PyTorch (familiar)
- Tensorflow
CV & DL Libraries
- OpenCV
- Keras
Development Tools
- Git/Github
- RESTFul APIs
Web Development
- HTML, CSS, JS
- Python Flask
- PHP, Laravel
- MySQL, NoSQL(mongoDB)
- AWS
Others
- English TOEFL iBT 97
- English TOEIC 935
- German B2
Education
Master's Studies, Computer Vision Lab, NTHU
Dept. Information Systems and Application, Sep 2020~Now
- Anomaly detection and segmentation for smart manufacturing as primary research target
Bachelor Degree, WASN Lab, NCU
Dept. Computer Science, Sep 2016 ~ June 2020
Exchange Student, Hochschule München, Germany
Dept. Informatik (Computer Science), Sep 2019 ~ Feb 2020
Experiences
August 2021
Attendee,
Machine Learning Summer School, NTU
August 2021
Backend Developer (Anomaly Detection Demo Website),
CVLab, FUTEX 2021
- Use Python Flask, MySQL for RestFul APIs development
- Optimized backend system with Python threading to support sudden massive traffic
June 2018 ~ July 2019, 1y1m
Full-Stack Web Developer (NCU Internship Web)
Career Center NCU
- Reconstruct website with Laravel Framework
- Optimize backend and database to handle larger amounts of access
- Over 30% of users received intern opportunities via this site
- Website Link: https://ncuinternship.careercenter.ncu.edu.tw/
Master Thesis:
SABDN: Self-Attention Based Deviation Network for few-shot anomaly detection and segmentation (Under Review ECCV 2022)
Contributions
- Combine self-attention mechanism with feature extraction CNN network and anomaly synthesis mechanism for anomaly scoring to achieve outstanding anomaly detection accuracy under few-shot setting
- Reach SOTA performance on benchmark dataset MVTecAD dataset and BTAD dataset with over 90 percent reduction in training data requirements
Side Projects
GlueGAN: a generative model based on SuperGlue structure
- Extend MagicLeap’s SuperGlue end-to-end GNN concept for object synthesis to solve synthetic object image generation problem
- 10% accuracy improvement compared to initial GAN backbone
Let's play GAN with flows and friends!
- Generate synthetic object images with multi-label conditions with conditional GAN manner
- Human faces generation by conditional normalizing flow
2048: by Temporal Difference Learning Approach (RL)
- Construct TD-learning algorithm and design own n-tuple network to solve 2048 game
- Reach 98% 2048-tile win rate in 1000 games
The LunarLander: under Deep Q-Network and DDPG manner (RL)
- Implement DQN and DDPG network to solve LunarLander game problem
- Thoroughly understand Deep Q-learning, actor-critic mechanism
Real-Time car detection and counting system
- Retrain YOLOv3 with our own hatchback dataset
- Reach average accuracy: 99% on both day-light and evening scenarios