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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

.com 工作經歷 China Engineering Consultants, Inc., Data Scientist | Associate Researcher, Sep 2020 ~ 現在 • Design large and expansive scale, implement distributed computing of data. • Processing, cleansing, verifying and optimizing the data process pipeline used for analysis. • Selecting features, building and optimizing classifiers using machine learning techniques. • Analyze large amounts of data to discover trends and patterns. • Build predictive models and machine learning algorithms. • Present information using data visualization techniques. • Collaborate with other team to build supervised and unsupervised learning capabilities with prediction, early alerting, and prescriptive recommendations. TAITRA

Learning algorithms like Regression, Classification, Predictions for Forecasting models. XPO Logistics. Data Analyst | Data Engineer, Apr 2019 ~ July 2020 Develop and Maintain Big Data Spark Applications using Scala and Python Pyspark. Develop and Maintain Airflow DAGs to schedule the python scripts and other workflows. Effectively used Machine Learning algorithms like Regression, Classification, Predictions for Forecasting models. BNP Paripas India Solutions Pvt. Ltd. Associate Consultant, Apr 2017 ~ Mar 2019 Develop and Maintain Python Scripts to generate Data Analytical Reports Maintain and Develop Informatica ETL systems for Regulatory Reporting domain Write Python, Bash Scripts for

Lin Hui Teng AI Software Engineer Computer Vision Algorithm Developer with 5+ years of experience in writing codes and algorithms. Possess passion of machine learning concepts and other related knowledge. Currently focusing on AI + AOI. M.S., National Taiwan University of Science and Technology [email protected] R&D engineer, Cal-Comp Electronics, Dec 2016 ~ Aug 2020 Developed & maintained : Design localized facial ROI for skin detection function. Design emotion detector by using CNN method. Develop face type classifier by using machine learning method including Dlib and decision tree

parallel development of the factory (Equipment warning, energy saving and fee reduction, etc.) Data Analyst • Digiwin Software Co., Ltd. 九月九月 2020 Project achievements: 1. Predictive Maintenance and Quality ● content: Calculated the best maintenance time via XGB. ● benefit: 86% of the machine failures can be discovered early. 2. Order Forecast via Machine Learning model(Lasso、Ridge、XGB). ● benefit: Result in correctly control 70% of orders. 3. Recruiting with Big Data ● content: Finding Your Best Candidates via Random Forest model. ● benefit: Expected benefit

Bing-Min(Ben) Wang Currently, I work as a software engineer on the AdInsight team at Microsoft where I handle petabyte-scale data, maintain stable services, and utilize both deterministic and machine learning techniques to recommend keywords. In addition, I have experience in applying machine learning in other areas, such as healthcare. I am an open-minded and fast learner, with the ability to quickly adapt to new processes, systems, and technologies. I excel in time management, multitasking, and thrive under pressure. I am passionate about tackling tough technical challenges and collaborating with team members to

Develop, implement, and automating deployment of ETL workflows using DBT and Redshift DWH. - Competitive Intelligence - c rawl and analyze the data from competitors to drive insights using NLP. - Analyzing feature usage data to understand customer behavior, predict conversion, and lead generation. - Detecting product's commercial usage using machine learning to push for free-to-paid conversion. - Generated country embeddings using relational data to identify geographic/demographic resemblance. - Clustering 200Mn+ users to tune marketing campaigns and generate sales opportunities. - Conducting hiring interviews, providing mentorship and onboarding junior colleagues. Data Scientist • CHECK24, Münster