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行DEV,QAT,UAT and PRD DB環境建立SQL Server Alwayson包含Windows Cluster建置 4).從現行DEV,QAT,UAT and PRD DB之SQL Server 2016版本直接都升級到SQL Server 2017(因為看到SQL Server 2017有個自適性查詢或稱智慧查詢處理還不錯用) 5).建置資料庫monitor CPU,Connection and deshboard等監控報表 6).建立T-SQL語法用於SQL

Rahmat Fauzan Algipari Tembilahan City, Indragiri Hilir, Riau, Indonesia || [email protected] Driven software developer with 7+ years of experience in web and mobile application development. Expertise in React, Laravel, and React Native, delivering 20+ high-performance projects with 98% client satisfaction. Consistently improved application performance, reducing load times by 50% and achieving 99.99% uptime. Led cross-functional teams of up to 8 members, boosting productivity by 40%. Committed to continuous learning, implementing innovative solutions that cut development time by 30%. Seeking to leverage technical skills and

後重新架設各Hyper-V服務。 經過這次系統主機問題，主管也願意提供汰換更穩定的設備，因此決議採購Dell R750 系統主機，並將AD、SQL 等服務重新建立在新伺服器上。 防火牆採購更換案 捷美海運承攬運送股份有限公司 • 六月一月 2023 因總公司 FortiGate 100E UTM即將

Union, unlocking global trade access with 10+ international airports. Implemented an equipment maintenance tracking system, reducing paperwork by 60% and integrating with SAP for precise cost control. MarJul 2019 Taipei, Taiwan Assistance Manager EVA Airways Managed multiple aircrafts export and import operations to make sure cargos were loaded/unloaded. Ensured dangerous goods and live animals with proper packages and documents. Serviced forwarders with customs and warehouses requests in Taiwan. EducationMing Chuan University Business Administration and Management, General Skills SQL Microsoft Office Project Management Salesforce Administrator toeic800+ Language Chinese — Native English — Professional work

+ in revenue) with proper revenue recognition treatment in compliance with ASC 606 and performed accounts analysis to ensure accuracy and completeness of revenue reporting Increased the efficiency and accuracy of the revenue data collection process by 60% across three separate ERPs (SAP HANA, Oracle, and Lab Database) by redesigning SQL query scripts, resulting in streamlined automation and improved HIPPA compliance Oversaw the billing and collections team by reviewing and validating $10M+ billing transactions monthly; performed root-cause analysis on billing errors and implemented systematic billing processes that reduced AR aging by 27% Identified and recovered $2.4M

林士傑 具備資料分析建模與產品管理背景，專注於語言模型應用、MLOps 系統建置與深度學習模型開發，具備端到端 AI 解決方案實作經驗。曾獨立開發 LLM 語言機器人與 BTC 價格預測平台，導入 Airflow、MLflow、Prometheus 等工具實現訓練自動化與監控可視化。熟悉 PyTorch 與語

MVC或者MVVM架構為主要接觸技術。而後來的工作機會讓我有機會接觸更多的程式語言與框架，像是Node.js、Python、React.js、Vue.js、SQL Server、PostgreSQL，也有使用ChatGPT、Claude、Gemini等大型語言模型加速我的程式撰寫速度，以及最佳化片段程式碼架構。 工作經歷 資深工程師 • 瑞竣