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整合 使用過的程式語言與開發工具 後端開發語言:PHP，Kotlin Web Server:Nginx 網頁框架:laravel、Yii、Yii2、Ktor、Spring Boot 慣用 PHP 套件 l5-repository laravel-mongodb guzzlehttp voyager jwt-auth laravel-echo 測試框架:phpunit 主機架構:docker 開發工具:PHPStorm 資料庫:MySQL、MongoDB 資料庫快取:redis 版本控制:GitHub、GitLab、bitbucket 慣用作業系統:Amazon Linux、CentOS、OSX 其他工具:ELK、airflow

/ futures / warrant investment platform in Golang Real-time quote: Our Go server keeps track of users' subscriptions to products and dispatches real-time quotes to them through WebSocket. Risk control: We store orders' information in Redis and use daemon to calculate risk periodically to control risk ASAP. Order: To ensure the integrity of orders, we use RabbitMQ for making orders. Backend development of a gaming platform in PHP Including game logic, member info/history, API concatenation and odds/risk calculation. Database design & maintenance. (MySQL / Redis / pr...

.pdf. 3. Use Python3 flask add upload media file function in "National Digital Library of Theses and Dissertations in Taiwan", create the manage media files system's web. Use Jinja2 and Vue.js build the manage system's frontend web, Use Python3 sqlalchemy to operate Mysql database. 4. Use Python3 flask to make "Ministry of The Interior Taiwan's New eLD"(The system has not started), use Python sqlalchemy and Mysql operate database. 5. Use Python3 to make a scrapy and schedule catching the cooperation company's(https://www

張詠翔 (Sean Chang) Sr. Data Scientist Sr. Data Scientist at KKLab, KKBOX Group Taipei, Taiwan https://www.seanchang.space 技能 ML Fundamentals tree-based models (bagging, boosting) NLP-related models (LM, NER, SA, ...) Programming Languages Python JavaScript Scala Go Frontend React React Native Backend & Database Express Flask & FastAPI SQLAlchemy MongoDB MySQL DevOps Docker Kubernetes AWS Ansible Helm GitLab CI Distributed Computing Apache Spark ML Frameworks & MLOps Tensorflow Scikit-learn Spark ML mlflow spaCy Data Visualization Plotly D3.js seaborn bokeh Miscellaneous Scrapy & Beautiful Soup 工作經

Wan-Ling (Lyn), Chen CAREER SUMMARY 7 years of diverse data and AI experience in engineering and advisory roles across varied industries. Provided end-to-end advisory on data and AI solutions, covering data platforms, lakehouse architecture, data security & LLM. Led PoCs delivery, solution design, and workshop execution for clients' digital transformation. Managed data architecture across 70 global offices, demonstrating adaptability in complex data landscapes. Actively participated in projects addressing board portfolios such as data and AI, security, and automation. Achieved a 76.6% revenue boost through strategic volume monetization. Goal-oriented, curious