析解決方案，降低客戶和專案成本 • 獲頒 2022 年最佳表現者之一 • 增加2位顧問作為資源協助客戶的專案； 輔導新顧問 Business Data Analyst (Recommendation System Engineer) • 良興股份有限公司 MarchJuly 2020 | New Taipei City, Taiwan 背景 • 公司進行數位轉型 • 領導數據發展部的數據專案 Data Analytics 專案 • 負責市場洞察挖

reached the Databricks Delta Lake. Established robust guardrails using the combined might of AWS Lambda, Apache Airflow and Databricks, ensuring that data stored in the DataBricks Delta Lake consistently met the highest quality benchmarks. MLOps / Machine Learning / Data Science Utilized Databricks to build a LightGCN-based recommendation system, fine-tuning for precise content delivery. Monitored model versions with MLflow, ensuring continuous integration. Seamlessly merged our recommendation system with Databricks Delta Lake, maintaining a high-quality data influx and elevating system performance. Developed a comprehensive MLOps service on Databricks, spanning from preprocessing to deployment

Agency Lab - PII Data Detection: Develop automated techniques to detect and remove PII from educational data. 2024/04/24 - Silver medal (solo): (Kaggle) U.S. Patent Phrase to Phrase Matching: Help Identify Similar Phrases in U.S. Patents, 2022/06/21 Recommendation system (推薦系統): - Silver medal (solo): (Kaggle) OTTO – Multi-Objective Recommender System: Build a recommender system based on real-world e-commerce sessions, 2023/02/08 - Bronze medal (solo): (Kaggle) H&M Personalized Fashion Recommendations: Provide product recommendations based on previous purchases, 2022/05

and collaborative efforts. Data Specialist / R&D Institute for Information Industry OctOct 2023 Taipei, Taiwan - Digital Marketing & Traffic Optimization: Enhanced search traffic via strategic SEO for major platforms. - Large-Scale Website Project: Contributed to a high-value SaaS website launch, overseeing deployment and development. - Data Analysis & Systems : Developed GCP-centric data systems, boosting data integration and analysis. - Team Leadership & Innovation: Created a Vertex AI recommendation engine, advancing data team methodologies. EducationNational Chengchi University MS in Computer Science Thesis:Explainable Deep Learning-Based Recommendation Systems: Enhancing the Services of Public Sector Subsidy Online Platform Courses

lai chao chyi Senior Software Developer, Extensive experience in Android app development, Experience in independently developing apps with Vue.js Currently working at Microsoft as a Support Engineer, primarily responsible for the product Azure OpenAI. 台灣新北市 Work Experience Azure Support Engineer • Microsoft Product: Azure (OpenAI & IoT) Content: - Application and technological research of Azure services - Architecture & solution recommendations - OpenAI prompt engineering Rectified critical issue for client utilizing Azure OpenAI and IoT Services, resulting in notable improvements in performance and heightened customer satisfaction. Collaborated extensively across multiple departments(billing, network service, APIM) Promoting a customer

It includes various applications, including each service via a message queue to communicate and share data. KaiStore backend To create an App Store for the world's most popular KaiOS applications, allowing KaiOS mobile users to download thousands of apps through KaiStore. This is a microservices architecture- based system, with the project utilizing GoLang for the API gateway layer, and Java SpringBoot to communication with the Cassandra database. It is capable of easy horizontal scalability and rapid responsiveness to serve tens of millions of KaiOS mobile users. To implement the app recommendation feature for KaiStore, collaborating

the CI/CD workflow and generic helm template to support over 30 projects and ensure easy integration with our GitOps deployment. MayMay 2022 Senior software engineer E.SUN Financial Holding Co., Ltd MLaaS platform Introduces MLaaS platform framework based on Kubernetes, consulting on several ML service system designs and operation tasks Kubernetes/golang/Prometheus/minio/airflow/EFK/kafka/argocd/argo-rollout Deploy On-Premise Kubernetes cluster and operation tasks like monitoring, scaling up/down nodes, troubleshooting, and root cause analysis Designed and built ML platform core features