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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. (2) Achievement: Boosted customer conversion rates by 2% through

Chun Shan, Wang [email protected] SUMMARY I'm a skilled software engineer, experienced in NLP and Data Engineering for over 4 years. I've delivered dependable solutions across commercial, educational, and psychological counseling domains. Expertise lies in deploying stable systems, ensuring valuable and trustworthy development. My background seamlessly integrates data and machine learning for comprehensive solutions. KEYWORDS: Python, NLP/NLU, Backend, Data, CI/CD, kubernetes, JAVA Spring, EXPERIENCE Data Engineer,now, TSMC I Build and improved the Python/JAVA services, including caching service with mongoDB and Redis, monitoring

陳昭儒(Chao-Ju Chen) Github [email protected] Education National Taiwan University Bachelor’s Degree, Electrical Engineering 2012 ~ 2017 Project Highlights Aggregating Files in one ETL, output 60B row to Data Warehouse Input :gzipped files(200GB in total) Task : Loading columns with values parsed from each gzipped file name. Wrote to BigQuery existing table(specific schema) in parallel. Tool: GCP Dataflow(Hosted Serverless Apache Beam) Result : The job took 40min to finish. Machine Type: n1-standard-1(1 vcpu, 3.75GB memory) Autoscaled up to 122 workers at peak. The data

R 語言。 專案： CHR ｢人格測評信效度驗證｣ 數據分析 空壓機數據分析 電鍍製程數據分析 鋼捲數據分析競賽 交通影像辨識模型建模 Conduct field assessment, issue identification, data filtering, data engineering, modeling, prediction, result visualization, and analysis on data provided by the field. Also, construct code for data automation processing project requirements, primarily utilizing Python, with some usage of the R language. CHR "Personality Assessme...

. Mechanical Engineer (Vehicle Chassis), HAITEC, 2016//4 Design and develop steering wheel and airbag. SKILLS Programming Python C++ Development Tools PyTorch OpenCV Linux Docker Git Domain knowledge Super resolurion Object detection Face detection and recognition Machine Learning Web Crawling EDUCATION INSTITUTE FOR INFORMATION INDUSTRY Data Engineering and Data Analytics Intensive Training Program (2018//11) NATIONAL TAIWAN UNIVERSITY (NTU) Master of Mechanical Engineering (2013//7) NATIONAL TAIWAN UNIVERSITY (NTU) Bachelor of Mechanical Engineering (2009//6) CERTIFICATES Microsoft Professional Program: Data Science Certificate TOEIC Golden Certificate (915/990) PROJECTS

Aiden Wu Data Engineer / Machine Learning Engineer Taipei, Taiwan • Enthusiastic software developer: focus on distributed systems, especially Hadoop ecosystem • Experience in data engineering: develop batch and real-time data pipelines with an average of TBs per month via Spark and Airflow • Experience in machine learning: develop machine learning (ML) and deep learning (DL) models while providing services on RESTful API https://www.slideshare.net/ssuserf88631/presentations 工作經歷 Senior Data Engineer • Garena 八月Present • Build and manage self-distributed systems (e.g., Hadoop, Spark, and Kafka Cluster) • Design

with an open mind and proactive approach. Recently, I've been researching M icro Frontends and LangChain . Excited about taking more challenging roles in the future, I aim to blend these new skills with my existing expertise to offer innovative solutions to the team. Work Experience Frontend Engineering Manager, Data Science • Vpon Big Data Group FebruarySeptember 2023 | Taipei, Taiwan 1. Responsible for frontend team recruitment, expanding from one to three members within a year. 2. Provided new engineer training with comprehensive development standards for quick integration. 3. Conducted code reviews to ensure