pipeline with Github Actions to enforce Git Flow, ensuring product stability. 5. Utilized Jest, Cypress, and Mocks Server for comprehensive testing, ensuring product stability. Sr. Frontend Engineer, Data Science • Vpon Big Data Group MayFebruary 2022 | Taipei, Taiwan 1. Developed a large-scale data platform with data visualization and segmented downloads from scratch. 2. Utilized deck.gl and vector tiles to accurately present geographical data of millions of travelers online. 3. Developed a React UI Library with tree select, virtual table, and data chart components for large-scale data presentation.

/對戰 遊戲測試 - 統整和回報專案和測試進程 - 自動下注驗證RTP分布機率是否正常 - 協助計算遊戲機率和賭場優勢 Rooit inc., Data Engineer, Jan 2023 ~ Oct 2023 Python/MongoDB/Business Analysis/Data Analysis/Bigquery/Redis/Tableau/Neo4J/Flask - 利用Python爬取大陸論壇的人物照片擷取可用5000張圖片進行推

Pandas, Hugging Face, Gradio, LangChain, Tensorflow, Keras, FastAPI, OpenCV, Airflow, Git, Docker, Jenkins, Line Bot , Azure Bot Service, Tableau ML & NLP Techniques: LMOps, RAG, Fine-tune LLMs, Text Generation, Multi-Document Summarization, Recommendation System, Text Classification, Named Entity Recognition, CoT Research and Work Experience Research Assistant OctPresent Institute of Information Science, Academia Sinica, Taiwan Natural Language and Knowledge Processing Lab (NLP Lab) National Taiwan University Hospital (NTUH): Focused on exploring the generality and expertise of LLMs ( e.g., LLaMA2, Zephyr. ) in medical Q&A applications, improving model performance by 2.01% . Efficiency Optimization: Utilized Low

吳俊瑩 Dani el 資料科學家/ AI專案管理/ IE工程師 ·4年網通智能製造經驗，負責工業4.0數位轉型專案 ·統計背景、對數字高度敏銳，能夠有效運用數據 ·思緒縝密、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 danielwu0221@protonmail

and preparedness for sophisticated analytics and reporting. Utilized Databricks and Airflow to run extensive data profiling tasks, analyzing data patterns and identifying potential quality issues before they 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

分割): - Bronze medal (team): (Kaggle) Understanding Clouds from Satellite Images: Can you classify cloud structures from satellites? 2019/11/19 GAN (影像生成): - Bronze medal (solo): (Kaggle) Generative Dog Images: Experiment with creating puppy pics, 2019/08/29 Experience: ．10/2020- Ittraining data science lecturer ．08/2019- Data science lecturer for ITRI's AI vocational training class/ AI training lecturer for Taiwan water resources and agriculture research institute. ．08//2019 Assistant professor/head to the department of cosmetic science and application, and department of environmental engineering

have experience with OpenCL on FPGAs for building DNN accelerators. By extension, I'm also familiar with parallel computing on CPU, is neutral to parallelization solutions and is very aware of the traps of NUMA as well as the effect of caches. CERN ROOT Using CERN's ROOT data analysis framework (written and scripted in C++) for AI and data science. Allowing the handling of large datasets directly on disk with little performance loss. And seamless inter-op between C++ and Python. Have experience deploying ROOT based analytics services. Linux