CakeResume 找人才

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

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...

methods. The proposed framework offers a clinically interpretable representation , a crucial aspect in clinical applications. I proactively organized a regular research study group with other lab members to progress our research . Participating in research projects : a comprehensive description is in "Project Experiences". Skills : Database buildup (SQL), Data Engineering (NumPy, SciPy, Pandas), M achine Learning (Scikit learn), Deep Learning (PyTorch, PyTorch lightning), C/C++ Biosignal Algorithm Engineer Rooti Labs Ltd. • AugustJuly 2020 Supervisor : Michael Li 黎克邁 (CEO, Rooti Labs Ltd.) The primary developer of the processing and interpretation algorithm for

. 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

. Work Experience NovemberPresent Senior Full Stack Developer Globo Working in Globo audience team. Use of technologies such as Vue. js, Node.js, .NET, and 100% cloud architecture using AWS. Use of cloud computing resources such as Serverless, Elasticsearch, S3, Route 53. Experience with data engineering, using BigQuery on GCP (Google Cloud Platform) and serverless on Aws coded in JavaScript. OctoberNovember 2021 Senior Full Stack Developer Reply I dealt with related issues with Zurich servers and helped in the migrations of the Brazil servers and active directory to the European servers. I

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

data. ETL data and construct data pipelines for retraining models/in production. Working in RPA( Robotic Process Automation) team, Web Scraping(crawler) and automating routine tasks to achieve labor cost reduction. JuneMay 2020 Data Scientist Intern @ Cathay Financial Holdings. 國泰金控 Digital data & Technology (DDT, 數數發) Research into Interpretable Machine Learning and its existing algorithms. Experimented LIME & SHAP on open data. ( GitHub ) Real Estate Evaluation model – Geographical/Credit Card data gathering, cleaning, feature engineering (Hit-rate performance improved from 55% to 70%) Python Machine learning Data Pipelines