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4 à 6 ans
6 à 10 ans
10 à 15 ans
Plus de 15 ans
Past
Institutional Product Manager @Binance2022 ~ 2023
・
Business Development / Product Manager / Product Marketing/ Strategy Manager
Dans 1 mois
Sans Emploi
・
Prêt à l'interview
Temps plein / Intéressé par le travail à distance
6 à 10 ans
國立清華大學(National Tsing Hua University, NTHU)
・
科技管理
Vice President @Somnics, Inc.2011 ~ Présent
・
中高階主管
Dans 2 mois
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
Employé
・
Ouvert à de nouvelles opportunités
Temps plein / Intéressé par le travail à distance
Plus de 15 ans
National Chiao Tung University
・
ElectrophysicsInstructor @Digi+ Program in NHRI (Genomics Analysis and Precision Medicine)2022 ~ Présent
・
工程師
Dans 3 mois
Étudiant
Temps plein / Intéressé par le travail à distance
6 à 10 ans
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
Dans 1 mois
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
Employé
Temps plein / Intéressé par le travail à distance
4 à 6 ans
國立清華大學
・
資訊系統與應用Senior Software Engineer @Berry AI 華捷智能 2021 ~ Présent
・
Dans 1 mois
Temps plein / Intéressé par le travail à distance
6 à 10 ans
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
Dans 1 mois
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
Temps plein / Je ne suis pas intéressé par le travail à distance
10 à 15 ans
清華大學
・
經濟
Research Engineer
Dans 1 an
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
Étudiant
Intern / Intéressé par le travail à distance
4 à 6 ans
National Chiao Tung University
・
Computer Science
Senior Machine Learning Engineer @C-Media Electronics2020 ~ 2021
・
Machine Learning Scientist, Data Scientist
Dans 1 mois
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
Au service militaire
Temps plein / Intéressé par le travail à distance
4 à 6 ans
清華大學
・
電機工程
Ph.D. Student @NTHU
Software engineer
Dans 6 mois
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 à 10 ans
國立清華大學
・
Computer Science
Senior Software Engineer @TomTom2018 ~ Présent
・
Senior Software Engineer
Dans 1 an
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
Employé
Temps plein / Intéressé par le travail à distance
6 à 10 ans
National Tsing Hua University
・
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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
Statut Actuel
Étudiant
Progrès de la Recherche d'Emploi
Professions
Software Engineer, Python Developer, Machine Learning Engineer
Fields of Employment
Logiciel, Intelligence Artificielle / Machine Learning, Robotique
Expérience Professionnelle
Moins de 1 an
Management
None
Compétences
Langues
English
・
Professionnel
German
・
Courant
Chinese
・
Natif ou Bilingue
Job search preferences
Position Désirée
Software Engineer
Type d'emploi
Temps plein
Lieu Désiré
台灣台北市, 台灣新北市, 台灣新竹市新竹, 台灣桃園
Travail à distance
Intéressé par le travail à distance
Freelance
Non.
Éducation
École
國立清華大學
Spécialisation
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