◆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

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.

/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

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

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.

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

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