CakeResume Talent Search

陳昱希 Computer Vision Engineer Yu-Hsi Chen has rich experience in developing computer vision and machine learning algorithms. In his recent work at Academia Sinica, he has focused on using machine learning to solve traditional computer vision and image / video processing problems. His developed NeighborTrack is a state-of-the-art single object tracking system in the field. During his school days, he used verilog on FPGA to implement the 3A system of the camera. website: Yu-hsi Chen (franktpmvu.github.io) Taipei City, Taiwan Yu-hsi Chen (franktpmvu.github

Windows. Digital Marketing and Advertisement (Volunteer) - Drove brand awareness and reach through digital channels - Created and managed posts on Facebook, LinkedIn, Instagram - Filmed and edited YouTube videos showcasing CoolSo's capabilities JulyPresent Chief Technology Officer / Artificial Intelligence Engineer • Checkitout Technology Checkitout's smartphone solution employed machine learning and computer vision for efficient counterfeit detection, safeguarding customer interests Leadership and Strategic Contributions - Founded and led a dynamic engineering team to develop counterfeit detection solutions, successfully showcased the prototype to customers within 3 months - Engaged with customers and investors to secure key partnerships and funding, secured $600,000 USD angel

data warehouse like GCP BigQuery - Build up CI/CD flow & GitOps flow - Develop APIs for Recommendation System and Deep Learning usage Software Engineer • Virtusize 五月一月Build high availability RESTful API service for client and frontend, with Python Django, Celery worker, Amazon Lambda service - Build high-performance computer vision API for fashion application - Upgrade legacy backend service to modern architecture. - Enable CI/CD flow and deployment - Build internal frontend application as a full-stack developer [Core technology] - Python/JavaScript - Django/Django Rest Framwork/Chalice AWS Lambda/Flask/FastAPI - Vue.

林昭源 (Leo Lin) 1. Two years of management experience. 2. More than 10 years of computer vision and deep learning/software architecture development experience. 3. Programming experience using python. 4. Good paper reading ability and practical ability 5. Familiar with computer vision, deep learning (CNN, Resnet, densnet, GAN), object detection (Yolo series, RCNN series), segmentation models (UNet, DensUNet). 6. Experience in semi-supervised or unsupervised learning (pesudo labeling, Voxmorph model). 7. Experience with Docker, Git, Jenkins DevOps. Education: National Taiwan University of Science and

ShengJu Wu(吳昇儒) Backend Engineer / Software Engineer • New Taipei City，TW • [email protected] Skills Programming Java JavaScript C/C++ Python SQL Web/Framework Spring Boot/SpringFrameWork PostgreSQL, Redis Embedded System SSD development FTL design Professional Skills Computer Vision Image Processing Machine Learning Language Chinese: Native language English: TOEIC CertificateCertificate Fundamentals of Deep Learning for Computer Vision - NVIDIA Deep Learning Institute (2019/6) Work Experience SoftLeader Technology Corp, Software Engineer, Septo now. R&D engineer: 1. Engaged in FileUpload system and ETL for clients. 2.

劉佳格 現服務於同致電子超聲波研發部門，專職於自動停車輔助系統的算法開發，畢業於台灣科技大學電子所，研究方向為機器學習、電腦視覺與深度學習。 台北市，，[email protected] 研究領域 Machine Learning Computer Vision Deep Learning 程式語言 C Python Java 開發環境/工具 Visual Studio Eclipse Docker

deep learning and computer vision. Graduated from National Taiwan University with Master of Mechanical Engineering. AI/ML Engineer Date of Birth: 1991/8/25 Mobile:E-mail: [email protected] LinkedIn: www.linkedin.com/in/mPROFESSIONAL EXPERIENCE Data Scientist (Computer Vision), TSMC, 2022/4 - Present Super resolution for wafer patch enhancement Computer vision algorithm development. Machine Learning Engineer (Computer Vision), VIVOTEK, 2019//4 Neural Network architecture design and optimization. Computer vision algorithm development. Mechanical Engineer (Vehicle Chassis), HAITEC, 2016//4 Design