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4 à 6 ans
6 à 10 ans
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OPC Chief Engineer @TSMC2020 ~ Présent
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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
Dans 1 mois
◆Excelled in distributed computing, optimizing code execution across thousands of systems to significantly improve processing speed and efficiency. ◆Developed sophisticated data visualization tools to distill complex datasets into actionable insights, aiding strategic decision-making. The University of Tokyo, Foreign Researcher (OctSep◆Pioneered a neural network-based approach for cell image classification and data visualization, enhancing lab capabilities in biological research. ◆Designed a user-friendly GUI for neural network model training, democratizing access to advanced computational tools for non-programmers. Education National Chiao-Tung University, Ph.D. - Photonics, 2015 ~ 2020 Development of Intelligent Wearable Near Infrared
Employé
・
Prêt à l'interview
Temps plein / Intéressé par le travail à distance
4 à 6 ans
National Chiao-Tung University
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Ph.D. - Clinical Engineering
設備專案工程師 @日月光半導體製造股份有限公司 ADVANCED SEMICONDUCTOR ENGINEERING, INC.2020 ~ Présent
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工程師
Dans 3 mois
Employé
・
Ouvert à de nouvelles opportunités
Temps plein / Intéressé par le travail à distance
4 à 6 ans
國立高雄科技大學 National Kaohsiung University of Science and Technology
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電腦與通訊工程系
Data Analyst & IoT Software Developer @FARAZ ERTEBAT2021 ~ Présent
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Computer Vision / Deep Learning
Dans 1 mois
C# as well, I develop robust solutions that encompass various programming paradigms. Passionate about staying up-to-date with the latest advancements, I excel at leveraging AI and computer vision techniques to derive valuable insights from visual data. I have successfully applied my knowledge in domains like image classification, object detection, and video analytics. As a lifelong learner, I continuously seek professional growth, exploring emerging technologies and frameworks to expand my skill set. I collaborate with cross-functional teams, employing popular Deep Learning frameworks like TensorFlow and PyTorch, as well as libraries like OpenCV.
Employé
・
Ouvert à de nouvelles opportunités
Temps plein / Intéressé par le travail à distance
4 à 6 ans
University of Qom
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Information Technology | Face Recognition
Software QA Engineer @West Pharmaceutical Services2020 ~ Présent
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Software Developer
Dans 1 mois
/jQuery. Integrate databases in MySQL/MSSQL/Oracle SQL/Google Firebase. Web Server setup in AMP(Apache, MySQL), Django/gunicorn/Nginx iOS App development in Swift/Message Kit/Core NFC. Machine Learning Experience with using Python and Keras in medical image classification and detection based on CNN. Basic Hardware Application Experience with Raspberry Pi 3/4 and environmental sensors(Temperature, humidity, pm2.5, co2, dangerous gas, ultrasonic/infrared distance, infrared camera). Experience with Arduino and environmental sensors. 工作/專案經歷
Employé
・
Ouvert à de nouvelles opportunités
Temps plein / Intéressé par le travail à distance
4 à 6 ans
朝陽科技大學Chaoyang University of Technology
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資訊管理系 Department of Information Management
Algorithm Engineer @Delta Electronics2017 ~ Présent
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Algorithm Engineer
Dans 1 mois
莊承翰 The devil is in the detail. Video and Image Algorithm, Deep learning, Software development [email protected] Summary Over 8 years of experience in deep learning and more than 10 years of experience in computer vision/image processing. Capable of independently or collaboratively building AI (image/video) products from scratch with various teams. Analyzing, and improving deep learning systems. Kaggle Top 1% ( 16 /Sartorius - Cell Instance Segmentation (2021/12~2021/12) Top 4% ( 85 /Human Protein Atlas Image Classification (2018/11~2019/1
Employé
Temps plein / Je ne suis pas intéressé par le travail à distance
4 à 6 ans
National Chin-Yi University of Technology
Performance Analyst @Ericsson2014 ~ 2016
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Data Scientist
Dans 6 mois
Temps plein / Intéressé par le travail à distance
6 à 10 ans
University of Southampton
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Actuarial Science (1st class degree)Employé
Temps plein / Intéressé par le travail à distance
6 à 10 ans
國立台灣大學
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資訊工程
Data Analytics Project Manager @Construction and Disaster Prevention Research Center2015 ~ Présent
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Data Scientist
Plus d'1 an
oriented and quality-focused. •Can work independently in a fast-paced environment. •Cool and concentrate under pressure. •Have good communication and presentation skills logically. Skills Project Management Technology research Communication Presentation Time Management Communication Software Python SPSS IBM SPSS Modeler ArcGIS Specialization Data Analysis GIS Analysis Image Classification Remote Sensing Data Modeling ML Algorithm Languages Mandarin Chinese English Work Experience Data Analytics Project Manager Construction and Disaster Prevention Research Center • 九月Present ‧Provided data forecasting and strategy to clients/government for making a strategic decision on urban planning/environmental protection/preservation.
Employé
Temps plein / Intéressé par le travail à distance
4 à 6 ans
FENG CHIA UNIVERSITY
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Master of Urban Planning and Spatial Information
System Development Engineer @Amazon Web Services (AWS)2023 ~ Présent
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Software Engineer
Dans 6 mois
stack for the company's product Building software team's workflow and coding standards Building office's network and internal service infrastructure Software Engineer Tech Lead DT42 六月十月 2019Taipei, Taiwan Co-working with Acer to create a low overhead Python wrapper for Tensorflow Lite C++ image classification running on Acer aiSage device, which only adds 2 to 4 ms overhead Software Engineer DT42 十二月六月 2018Taipei, Taiwan Migrating backend architecture from AWS EC2 GPU instances to on-demand AWS ECS service, which reduce 80% costs Hardware Enablement Engineer Canonical 十一月
Employé
・
Ne recherche pas de nouvelles opportunités
Temps plein / Intéressé par le travail à distance
4 à 6 ans
NSYSU, Taiwan
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CSE
Algorithm Research & Development @適着三維科技股份有限公司 TG3D Studio Inc.2021 ~ Présent
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Software Engineer
Dans 1 mois
push-ups and squats, 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
Employé
・
Prêt à l'interview
Temps plein / Intéressé par le travail à distance
4 à 6 ans
國立台灣大學
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Adaptability
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Ability to work cooperatively, communicate effectively, and anticipate each other's demands, resulting in coordinated collective action.
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Ability to coach, guide, and inspire a team to achieve a shared goal or outcome effectively.
Professional Background
Statut Actuel
Employé
Progrès de la Recherche d'Emploi
Professions
Software Engineer
Fields of Employment
Intelligence Artificielle / Machine Learning
Expérience Professionnelle
2 à 4 ans
Management
I've had experience in managing 15+ people
Compétences
Langues
English
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Intermédiaire
Job search preferences
Position Désirée
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
Type d'emploi
Temps plein
Lieu Désiré
Travail à distance
Freelance
Éducation
École
國防醫學大學
Spécialisation
公共衛生學系
陳映竹 ( Joanna)
Aged: 26
Gender: female
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 segmentation, Statistics, 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.
Face detection and identity recognition
Object detection, Verification loss , Apps, MxNet
- 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)
陳映竹 ( Joanna)
Aged: 26
Gender: female
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 segmentation, Statistics, 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.
Face detection and identity recognition
Object detection, Verification loss , Apps, MxNet
- 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)