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. Enterprise Corporation JanDec 2021 Senior Machine Learning Engineer | C-Media Electronics - Develop real-time deep CRNN AI de-reverberation engine with SRMRLead development of speech cloning from unseen sources using Generative Adversarial Networks. MarNov 2020 Senior Machine Learning Engineer | Institute for Information Industry (III) - Lead the development of deep video retrieval system speeding up the fake news screening using Pytorch and Ranking algorithm. - Build the system with Flask and Docker with Retrieval Precision 95.1%. - The system would be deployed by two NGO fake news checkersTaiwan FactCheck Center and MyGoPen. JanJan 2019 Machine Learning

用機器及降低故障率。 生產設備數據分析，製程問題進行分析，檢視錯誤原因，如: 負擔過重、溫度過高等。 Skills Python Langchain Numpy OpenCV Tensorflow (tf.keras) Pytorch Scikit-learn C# EmguCV ASP.NET Windows Forms 程式設計開發、單元測試專案 Halcon 影像處理 影像定位 瑕疵判斷 物件量測 Skills Database MySQL Oracle ArangoDB LLM Tool:langchain Vector DB

general zero-shot 12 gestures model, with 95%+ accuracy, a significant enhancement from the former version has limited 80% accuracy for only 4 gestures and requires per user training session - Reviewed cutting-edge AI research papers and deployed in CoolSo's technology stack - Designed and trained DNN models with PyTorch and PyTorch Lightning - Enhanced models via transfer learning, augmentation, and parallel training - Developed C++ / Python SDK and deployed DNN models on Android and Linux / Windows. Digital Marketing and Advertisement (Volunteer) - Drove brand awareness and reach through digital channels - Created and managed posts on Facebook

company's annual revenue Lead and participate in multiple R&D projects for future product/project opportunities Analyze and select technology stacks for main projects Create and refine new processes and practices for development and deployment Major Product and Project Experience: Fingerprint Recognition System: A website system, integrated with deep learning models, helps police department deal with broken fingerprints matching. Impact Reduce the omission rate of broken fingerprints matching, which current matching systems do not perform well. Scope of Work: Built the website with ReactJS, NestJS, TypeORM, PostgreSQL, FastAPI, and Pytorch. Wrote necessary automated regression tests

生式設計(generative-design)與算圖工作。 Education 國立東華大學 藝術創意產業學系Skills Python Numpy / Pandas / Polars Celery FastAPI Visualization Rust Tauri Poem Tokio Polars CICD Docker Docker-compose K8S Gitlab CI Github Action Deep Learning CNN / RNN / GNN Reinforcement Learning Tensorflow Pytorch Keras Other Language Rust javascript Swift C / C++ Dart Design Photoshop illustrator After Effects Cinema 4D 3D Modeling / Rendering Generative Design Side Project TradingGym more 這個專案啟發於openai的gym

Analysis and Compose Survey Report. Managed 18 surveillance projects in 8 years. Coordinated with Environment and Construction Authority to proceed monitoring projects. EducationMaster of Science National Sun Yat-Sen University Biological Oceanography, Multivariate Analysis, Time Series AnalysisBachelor of Science National Sun Yat-Sen University Oceanography Skills Certificate Deep Learning Machine Learning Statistics Multivariant Analysis Python SPSS SAS PyTorch Tensorflow/Keras Scikit-Learn Matplotlib Seaborn 1. Python from the Beginning / Udemy 2. Python A-Z / Udemy 3. Machine Learning A-Z / Udemy 4. Deep Learning A-Z / Udemy 5

Emily Ledoux Delivery Principal Seasoned Delivery Principal in the Data Practice. Focused on designing robust, scalable data ecosystems in the cloud to feed insights and data visualizations. Well-rounded consultant with experience spanning sales, recruiting, and delivery. Proven Delivery & Client Lead. Portland, OR, USA https://www.linkedin.com/in/emily-ledoux/ Work Experience JanuaryPresent Principal Data Architect Kin + Carta Delivery or Client Lead for over 25 resources, including direct reports, delivery oversight, hours tracking, QBRs, onboarding management, budget ownership and related responsibilities. Cloud Architect, designing Azure and