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2019 Taipei, Taiwan Manager ChangXin Memory Technologies, Inc. R2R Platform Deployment: Led the development and release of non-photolithography R2R platforms, including Etch, ThinFilm, and CMP modules. Automation and CICD Implementation: Established an automated CICD system for daily builds and verifications, delivering reports with integrated email notifications. Algorithm Design: Developed advanced algorithms such as SMA, WMA, EWMA, and multivariate correlation analysis, enhancing data accuracy and process efficiency. Team Leadership: Provided documentation, training, and daily management to enhance team capabilities and operational success. FebruaryApril 2017 Taipei, Taiwan Senior Software Engineer MStar Semiconductor Drop Zone System: Developed

生 105學年度 第2學期 資管系科學會會長 106學年度 菁英獎 Unity(射擊遊戲)、手部影像辨識(OpenCV)、 業務報價系統、學生座位優化(遺傳演算法臺中市立文華高級中等學校 Field of study 田徑校隊 資格認證 iPAS物聯網應用工程師初級 經濟部 B-I發照日期 二月 2018 · 永

楊文筑 Backend engineer Taipei, Taiwan 於國小四年級暑假期間, 使用家用筆電自架 Server, 燒壞了人生第一張硬碟, 開啟了不斷還技術債的日子 [email protected] 工作經歷 Backend engineer Metropia 十一月Present Taipei, Taiwan 負責產品 (GoEzy, ConnectSmart) 後端程式開發維護 共乘相關功能維護與開發 最短路徑(dijkstra, a*)演算法

GCP Cloud Function receiving failed-email messages from Mailgun’s webhooks Configured AWS Athena to integrate AWS DynamoDB and RDS to migrate data into GCP BigQuery via Boto3 or OBDC Driver Transformed 10 client’s audio files using GCP Speech-to-Text API , and calculated the accuracy using Edit Distance algorithm Improved Speech-to-Text time to lower than 30 seconds and still reached the accuracy of 70 % comparing to the original texts Gmail-Shared-Contact Management Solution: Javascript, Xml Delivered a solution utilizing Google Sheet, Apps Script , and Domain Shared Contacts API to update contacts in Gmail Guided clients

developers, 1 full-stack developer, 2 AI specialists & 2 SREs. Senior Backend Engineer Led the development of a comprehensive review system, including automated review of videos, images & text, along with 20+ related tools, improving reviewer work efficiency by 30% Developed application server & recommender system Red esigned a recommendation algorithm that improved performance by 70% & increased user lifecycle time by 13% Technical Detail: Golang, Python & Google App Script Spanner, Bigtable, Redis & Qdrant Elasticsearch LLM & RAG GCP & GKE Backend Engineer, 2020/04 – 2021/08 Lucky Money Technology Co., Ltd Major Contribution: Improved performance by 90% Integrated BigQuery