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OPC Chief Engineer @TSMC2020 ~ Hiện tại
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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
Trong vòng một tháng
◆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
Đã có việc làm
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Sẵn sàng phỏng vấn
Full-time / Quan tâm đến làm việc từ xa
4-6 năm
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 ~ Hiện tại
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工程師
Trong vòng ba tháng
Đã có việc làm
・
Bật trạng thái tìm việc
Full-time / Quan tâm đến làm việc từ xa
4-6 năm
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 ~ Hiện tại
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Computer Vision / Deep Learning
Trong vòng một tháng
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.
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・
Bật trạng thái tìm việc
Full-time / Quan tâm đến làm việc từ xa
4-6 năm
University of Qom
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Information Technology | Face Recognition
Software QA Engineer @West Pharmaceutical Services2020 ~ Hiện tại
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Software Developer
Trong vòng một tháng
/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
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Bật trạng thái tìm việc
Full-time / Quan tâm đến làm việc từ xa
4-6 năm
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 ~ Hiện tại
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Algorithm Engineer
Trong vòng một tháng
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
Đã có việc làm
Full-time / Không quan tâm đến làm việc từ xa
4-6 năm
National Chin-Yi University of Technology
Performance Analyst @Ericsson2014 ~ 2016
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Data Scientist
Trong vòng sáu tháng
Full-time / Quan tâm đến làm việc từ xa
6-10 năm
University of Southampton
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Actuarial Science (1st class degree)Đã có việc làm
Full-time / Quan tâm đến làm việc từ xa
6-10 năm
國立台灣大學
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資訊工程
Data Analytics Project Manager @Construction and Disaster Prevention Research Center2015 ~ Hiện tại
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Data Scientist
Hơn một năm
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.
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Full-time / Quan tâm đến làm việc từ xa
4-6 năm
FENG CHIA UNIVERSITY
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Master of Urban Planning and Spatial Information
System Development Engineer @Amazon Web Services (AWS)2023 ~ Hiện tại
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Software Engineer
Trong vòng sáu tháng
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
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・
Tắt trạng thái tìm việc
Full-time / Quan tâm đến làm việc từ xa
4-6 năm
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 ~ Hiện tại
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Software Engineer
Trong vòng một tháng
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
Đã có việc làm
・
Sẵn sàng phỏng vấn
Full-time / Quan tâm đến làm việc từ xa
4-6 năm
國立台灣大學
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生物產業機電工程所Kế hoạch tuyển dụng đơn giản và hiệu quả nhất
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Tình trạng hiện tại
Đã có việc làm
Tiến trình tìm việc
Professions
Software Engineer
Fields of Employment
Trí tuệ nhân tạo/ Máy học
Kinh nghiệm làm việc
2-4 năm
Management
I've had experience in managing Trên 15 nhân viên
Kỹ năng
Ngôn ngữ
English
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Trung cấp
Job search preferences
Vị trí
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
Loại hình công việc
Full-time
Địa điểm
Làm việc từ xa
Freelance
Học vấn
Trường học
國防醫學大學
Chuyên ngành
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)