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Delivery ,CD)進而將軟體開發過程的活動透過自動化導入更能夠以敏捷完成。因而目前研究主題除原機器學習中的監督學習（Supervised learning）、非監督學習（unsupervised learning）、半監督學習（Semi-supervised learning）、強化學習（Reinforcement learning）。另外機器學習相關軟體工程中的DataOps與MLOps感到興趣。在持續訓練(Continuous training

林昭源 (Leo Lin) 1. Two years of management experience. 2. More than 10 years of computer vision and deep learning/software architecture development experience. 3. Programming experience using python. 4. Good paper reading ability and practical ability 5. Familiar with computer vision, deep learning (CNN, Resnet, densnet, GAN), object detection (Yolo series, RCNN series), segmentation models (UNet, DensUNet). 6. Experience in semi-supervised or unsupervised learning (pesudo labeling, Voxmorph model). 7. Experience with Docker, Git, Jenkins DevOps. Education: National Taiwan University of Science and

工作經歷 Data Engineer / Scientist MediaTek Inc. • 2019/07 - Present 協助晶片設計 提升產品效能 透過 regression model 改善控制手機溫度控制機制，溫度 誤差 < 1C 透過 unsupervised learning 精確分貨，多救回過去誤分的 5% 高階晶片 建立 PB-level data warehouse 降低 20% 功耗 並提升手機效能 ( 14K Antutu Score ) 協助晶片開發掌握新製

Processing (SciPy, Librosa), Deep Learning (PyTorch), Project Management Master's Degree, Computer Science and Engineering Education National Yang-Ming Chiao Tung University (NYCU) • JulySeptember 2023 Advisor : Dr. Vincent S. Tseng 曾新穆 (Chair professor, CSIE, NYCU.) Thesis : Self-supervised pulse-aware and interpretable disentangled ECG representation learning. Proposed a self-supervised learning framework with two-fold training efficiency compared to the existing 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

apply better solutions. Taipei City, Taiwan [email protected] Portfolio Skills Tech Stack Tensor Flow Android Linux Python Java Certification Coursera - Deep Learning DeepLearning.AI TensorFlow Developer Work Experience AI Engineer (Deputy Section Manager) Compal Electronics, Inc., Taipei City, Taiwan • Apr 2020 — May 2021 Machine Learning • Pixsee Baby Camera a. Face detection and attributes(age, gender, etc.) model training for the "Baby Bubble Tree" service. b. Object detection model training and image-based product recommendations. c. People search with unsupervised clustering . d. Model Interpretability and embedding visualization