CakeResume Talent Search

陳功儒 Ferdie Chen As a manager and builder of an in-house automatic machine R&D department, I'm operating a highly AI/AOI/EE/ME integrated team for developing high precision customized automatic machines. I built up this department from ground level, which is the first automation team of AAOI Inc. During this 4 years, we’ve delivered: 3 high precision AOI machines 2 high precision automatic die bond machine 1 auto-tester 1 tray transporter 1 signal analyzer prototype All machines are customized and aim on optimizing opto-communication manufacturing process

including Recurrent Neural Network (RNN), word2vec, paragraph vector. Working Experience Intern, JulDec 2014 Phalanx Biotech Develop machine learning solutions for cancer gene detection and TSMC semiconductor quality prediction. Intern, JulAug 2013 Solid State System Assisted in CMOS MEMs microphone product development including proto-type simulation, fabrication/packaging process, defect analysis and market survey. Achievements 1. Qualified of preliminary contest of TSMC Big Data Analytics for Semiconductor Manufacturing. Taiwan,Completion of Broad-DREAM Gene Essentiality Prediction Challenge, 2014 Professional Skills Research Field Machine Learning Deep Learning Computer Vision Natural Language Processing Lang...

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