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0.3mAP的效能。以下為我的優勢能力: 資料科學的研究開發能力: 研發演算法來符合產品的資源限制以及控制頻率。利用Reinforcement Learning改善最新的transformer-based物件偵測模型，能夠結合多種不同種類的機器學習種類。 深度學習與應用場域的知識: 物件偵測、物件分

Docker Doxygen Swig (API for python from C++) OpenCV OpenCL Linux Skill multi-threads distributed computing serialization/deserialization CICD data version control (DVC) MLOps Image Processing PCA Interactive Segmentation Connected Component Image Stitching Direct Linear Transformation Kalman Filter (Tracking) SIFT Hough HoG Image Deblurring Depth Estimation ISP Machine Learning Framework Transformation Data Augmentation Transfer Learning Model Pruning Model Quantization Performance Evaluation Parameter Fine-tuning Model : SVM, LeNet, AlexNet, VGG, GoogLeNet, SSD, YOLO, MobileNet, ShuffleNet, FaceNet, Xception, MatrixNet, CenterNet, CSPNet, M2Det, EfficientNet/Det Projects HPC Keyword Spotting Automatic Speech Recognition Distributed Inference System Social Distancing Estimation (Lidar

Kai-Kai Hsu Software Engineer • Taipei，TW • [email protected] •With 10+ years experience of image processing algorithm development, engaged in the developments of below software features : Filmora, PowerDirector, PhotoDirector, YouCam Perfect (App) and YouCam Makeup (App), mainly involved in the algorithm designings of image processing, computer vision, pattern recognition, machine learning(SVM, regression). Capable of performance tunning (Multithread, SIMD, NEON), cross-platform development, including Window, Mac, Unix, iOS, and Android systems. Skills Programming Development C++ (mainly) Objective C (elementary) iOS development Java, JNI (elementary) Android development Library OpenCV effekseer clapack

API’s • Socket.IO • Jest • Postman • PSequel To obtain a position in a well-known business where my hard work and dedication is appreciated. Also, to extend my knowledge in the field as much as possible. Projects Smart-Brain-App || Front-End React Application utilizing a Clarifai Machine Learning Image Recognition API. Smart-Brain-App || Back-End A RESTful API server using NodeJS with an Express framework, KnexJS to connect to the Relational Database using PostgreSQL, BcryptJS for security, testing routes with Postman, and database with PSequel prior to being deployed on Heroku . Streamy-App

responsible motor certification. (About UL, TÜV, SGS and so on) Motor standard sorting. EducationFeng Chia University Master's degree, In-service degree program of Master of Information and Electrical Engineering Master's Course ： 1. AI implementation class (Python) 2. PLC implementation class 3. Advanced Electrical Machine Theory Dissertation title： 1. Multi-Objective Optimization Design of a Three-phase Squirrel Cage Induction Motor Using Genetic Algorithm Seminar paper： 1. Multi-Objective Optimization Design of a Brushless DC Motor Using Taguchi Method Based Neural Network Approach(2021電力工程及電力電