CI/CD, and Software Development Process: (1) Responsibility: Developed hybrid cloud architecture using GCP, especially include local K8S, GaKE, Docker and other services. Implemented CI/CD systems and designed internal software processes, communicating closely with executive leadership. (2) Achievement: Enhanced IT infrastructure flexibility and scalability, improved system reliability and operational efficiency, reduced costs. 4. Data Platform and Personalized Recommendation System: (1) Responsibility: Built AWS data platform including ETL, data warehousing, and lakes. Led development of a personalized recommendation system using AWS Personalize, custom algorithm and Generative AI, e.g. OpenAI, Genimi

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

/DW schema for Web APP. Experience in custom ETL design, implementation and maintenance. Working with Data Scientist to implement machine learning input/output and BI features. Foxconn, Senior Data Engineer, OctDec 2018 Collect customer data from various channels and extract valuable information to build ad recommendation models Experience with ETL flow design and develop: ETL between Hadoop and RDB Cleaning TV logs to analyze customer behavior and building key metrics to analyze Construct data flow to manage big data ingestion from upstream application to Hadoop Distributed File System Building data warehouse from scratch and using

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

09~2020/08 for Hisilicon FCCSP Device * New Product Introduction Planning -Risk Assessment: Substrate design review, process FMEA review, flow definition, BOM material selection and reliability verification -Yield Management: Yield improvement, Customer engineer lot arrangement 2. ATV Project team during 2020/08~2022/03 for ATV system construction - ATV factory enhancement with 5M1E, hand free improvement, and unit traceability with BGA device -ATV NPI device defect gating enhancement -ATV BOM selection recommendation -Support to ATV customer audit (Renesas and Toshiba) 3. Assembly HVM team from 2022/03 till now -Qualcomm HVM device yield management