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David Huang [email protected] • github.com/d86518 • Taiwan 樂於開發程式讓生活更好 の 平凡軟體工程師 / 愛書人 請進 Education 腳踏實地 / 一步步向前 2015 年 9 月年 6 月 國立交通大學 資訊管理與財務金融學系 資訊管理組 國立交通大學 資訊工程學系 輔系 畢業學分年 7 月年

Master of Applied Physics SepJune 2015 Taichung University Bachelor of Chemical and Materials Engineering SepJune 2011 Skills C & C++ C#, .NET Framework and .NET Core MSSQL, MySQL and OpenSearch(Elasticsearch) HTML, JavaScript and CSS Language Chinese - Native English - Intermediate spoken and written Tech Documentations Topic of Machine Learning Topic of the Solution of Tridion Topic of Program Design Topic of Basic Idea of the Web Related Applications Publications Power Generation Mechanism台灣風能學術研討會 The Chance of Taiwan in the Change of ECFA產業趨勢論壇

話式智慧團隊教學系統融入數學幾何閱讀教學與成效分析, 諮詢委員, 2019 ~ 2022 專長 AI 研究領域 影像 自然語言 語音 數據分析 Machine Learning XGBoost、SVM、Knn、k-means、fuzzy c-means等 Deep learning（Transformer、CNN、RNN、LSTM 等） Transfer learning（BERT、GPT、YOLO、ResNet等） Self-Supervised Learning Generative Adversarial Network Reinforcement learning Programming Python Pytorch Tensorflow Keras OpenCV Matlab 著作/論文 HOU SHIH-YEN, WU YA

Vrezh Khalatyan Java Software Engineer Glendale, CA, USA Forward-thinking Software Engineer with background working effectively in dynamic environments. Fluent in Java and Python programming languages. Proud team player focused on achieving project objectives with speed and accuracy. Software Engineer skilled at technical leadership, communication and presentations. Experienced in full project life cycle from design to implementation to integration. Work Experience Java Software Engineer • Music Reports Inc DecemberPresent Developed high-quality software design and architecture utilizing Java MVC, JavaFX, and Swing. Implemented multi-threading and exception handling to improve application functionality Identified, prioritized, and

. The mainly adopted technologies: Angular, Java8, SpringBoot, SpringBatch, Oracle. Certifications AWS Certified Cloud Practitioner Iss: Oct 21 Exp: Oct 24 Education University of Napoli "Federico II" • BSC in Computer Engineering Sep 11 - Jul 17 My final thesis, entitled " Analysis and performance of the Dark Network ", was about applying Machine Learning tools (i.e. Weka) to the classification of the network traffic generated on three anonymity services: TOR, I2P, and JonDonym. Skills Ratings Languages and Frameworks Domain-Driven Design (DDD) Test-Driven Development(TDD) Clean Architecture Clean Code Design Patterns Onion Architecture SOLID Principles Full-stack

2018 ~ Jun 2020 Use Golang to deal with great amount of data monthly and ensure data synchronization and keeping. Concatenate multiple third-party data and games and transfer to unified format. Monitor the accuracy of third-party data simultaneously. Apply gitlab autoBuild to CI/CD. Push docker image to docker hub and manage docker compose rapid deployment by tool. Data landing to mySQL、ElasticSearch, lading of multiple machines are pushed by Kafka. Monitor machine health by Prometheus +Grafana and use graylog to debug Production line, if serious situation wil...