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和車載系統調試，節約採集成本76%； 新增ccd硬體設備，結合圖片深度解析技術，提升整體效率 20% ，精度提升：誤差在 5cm 以內； 通過scikit-learn 模塊對數據進行classified和predict，制定驗收方案，交付合格率達到 99% ； AVP 首個應用場景上市，攻破數據結構和現實不符、地下場景

宋浩茹 Hao-Ru Sung| [email protected] | LinkedIn ｜ GitHub A s a Research Assistant at Academia Sinica , specializing in Generative AI research and application. With 3 + years of experience in NLP a nd Machine Learning , along with 4+ years in Backend Development . Proficient at translating complex theories into practical applications. Skills Languages: Python, R, SQL, MATLAB, C, C#, JavaScript, Node.js Software & Tools: PyTorch, PyTorch Lightning, Tensorflow, Scikit-Learn, NLTK , GCP, Linux, SQL / NoSQ , Pandas, Hugging Face, Gradio, LangChain, Tensorflow, Keras, FastAPI, OpenCV, Airflow

梁賦康 （Foo-Hong, Leong） Taoyuan City, Taiwan Email: [email protected] Tel:Skills • Languages: Python • DataBases: MySQL, SQLite • Infrastructure tools: Github • Machine learning libraries: TensorFlow, Keras, and Scikit-learn • Data visualization tools: Power BI, Seaborn and Matplotlib • Deployment: Streamlit Summary I have been working in Motor Manufacturing Industry for 8 years. My first programming was going to my Bachelor's degree, C++ was the first program I learned. Then I started to learn Python in 2018 at TEDU and my first project was the Stock Trend Prediction by CNN. I kept

. Created user interfaces for mobile apps based on design specifications. Optimized mobile applications for performance and scalability. Developed databases that supported Web applications and Web sites. Developed system interaction and sequence diagrams. Big Data Engineer • Freelancer JuneJuly 2023 Built machine learning models using TensorFlow and Scikit-Learn libraries for predictive analysis of customer behavior. Designed and implemented a scalable data warehouse architecture using Apache Cassandra, PostgresDB, and Redis. Optimized database performance by tuning queries in SQL Server, Oracle and PostgreSQL databases. Implemented efficient data processing algorithms on large datasets with Apache Spark

李昀庭 Data scientist Taiwan 技能 Machine learning and Engineering skills: Python, Big Query, Google Storage, Linux, Docker, GCP, AWS, Scikit-learn, Tensorflow, Pytorch, MLOps, FastAPI, Machine Learning, Deep Learning, Computer Vision, NLP Experimental design, Project management, Product design English - TOEIC 725 工作經歷 AI工程師 Playsee NovPresent Taipei, Taiwan 自動化標註推薦系統 設計並實踐架構取代25個標註者並及時標記和篩選視頻審核內容。 設計並優化影片

縝密、規劃能力強，領導團隊朝目標推進 ·積極主動、學習能力佳，持續吸收新知識 [email protected] 技能 Skills • Python • R • Power BI • MySQL • SAP • SAS • Pandas • Numpy • Matplotlib • Scikit-learn • Seaborn • TOEIC 705 工作經歷 Work Experience 鴻海 Foxconn Industrial Internet, IE工程師/AI專案分析師 , Feb 2019 ~ Jun工業4.0、 數位轉型專案推導 (70%)： 協助工廠數位

inverter types in 3 solar fields oversea. 2. Explored time-series log data to find insights that improved traditional maintenance by approximately 5% and increased overall return on investment. 3. Designed monitoring dashboard. 4. Converted PoC code into production code with MLOps. Skills：scikit-learn, Pandas, Grafana, MLFlow, MinIO, InfluxDB, k8s Technical Product Manager • Delta Electronics, Inc. (台達電子工業 股份有限公司) 三月十二月 2021 Oversaw all aspects of the project, including brainstorming, planning, scheduling, task designation, communication with stakeholders and developers