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

Senior Software Developer, Wuduker Inc., JanuaryOctober 2020 iSchedule, a preference aware scheduling system. Responsible for designing RESTful API, database schema and core scheduling solver Anomaly detection system with Deep Metric Learning Develop deep learning model with PyTroch and PyTorch-Lightning Consulting service. Including Spark pipeline optimization, deep learning model development and general Python/C++ development Machine Learning Engineer, Pinkoi Inc., DecemberDecember 2019 Recommendation System, including item-based/store-based recommendation, keyword suggestion, making significant improvement on recommendation quality and coverage. Machine Learning Algorithm Design Data Pipeline, including on-site advertising and

YEN-TING CHEN (陳彥廷) I am a graduate student in the Department of Psychology at National Taiwan University ( NTU). For me, diving into psychometrics and exploring data with reasonable statistical method is to clarify a new world of understanding people around us. Whether it's a quirky little issue or a big, serious one, I've got curiosity and grabbed my attention to figure out problems using the tools or theories of psychometrics and data analysis . Right now, I am turning curiosity into discoveries in the wild world of Psychology and All kinds of Data

Benjamin Deporte [email protected] AI, Machine Learning and Data Officer Innovative AI/ML seasoned leader with strong mathematical background and hands-on knowledge of machine learning algorithms and best practices. Specialized in Cybersecurity, Healthcare and Aerospace. Demonstrated driving business value through 10+ years of experience within different businesses, in direct management or thought leadership roles. Leadership, networking, communication and language skills. Skills Expertise in Artificial Intelligence and Machine Learning Specialization in Cybersecurity, Healthcare and Aerospace. Leadership abilities, networking and communication skills Business acumen in multicultural, global organizations Work

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

focus mainly on object detection, sensor fusion and sensor calibration. 3+ years of experience in machine learning. Used to conduct research in medical AI projects and possess experience in implement real-world end-to-end ML project . Skills Programming Languages Python C++ SQL Machine Learning TensorFlow Pytorch Scikit-learn Matplotlib Others FastAPI Docker Redis Linux Certification Taiwan AI Academy - AI Technical Professionals Program NVIDIA DLI Certificate – Applications of AI for Anomaly Detection Work Experience Machine Learning Engineer NEUTEC • MayPresent Develop, optimize and maintain the machine learning algorithm for internal process automation. Deploy machine

Kishan Gondaliya Experienced embedded software engineer working on Embedded Systems and Deep Learning to enable vision and voice-based machine learning algorithms on low-power FPGA and edge embedded devices. ~8 years of experience consists in writing, debugging, and optimizing software/firmware for embedded [email protected] Ahmedabad, Gujarat, India Skillset Languages: Frameworks: Dev Tools: HW Platform: Cloud (GCP): Cloud (AWS): Other: C, Python, C++ Tensorflow (TFlite, TFmicro), Keras, Caffe, Darknet Anaconda, Git, Gerrit, Perforce, Pycharm, CVS, Jira, Confluence Google Coral TPU, Lattice ECP5, U+, Crosslin-NX FPGA, Raspberry Pi, Intel Movidius, NVIDIA