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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

李仕航 Sean Lee About me • Capable in multiple programming languages, such as Python, Java, C#, etc. •With mature database management skills, including SQL and NoSQL DB • Experience with development tools, like Visual studio, Azure, Git, Gira •With knowledge of web development, including HTML, CSS, ASP.NET, Javascript, React.js • With AI related knowledge, including NLP, machine learning and data manipulation •Be able to pick up new skills and stay updated of emerging technologies Taipei, Taiwan Contact Email: [email protected] Mobile:LinkedIn: https://www.linkedin.com/in

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

Hafiza Anam Masood I am a highly ambitious and self-driven individual skilled in Advanced Quantitative Research and Applied Methodology, currently immersed in a cutting-edge research project utilizing machine learning and NLP. Certified in Python for Financial Programming and Data Science Tools, complemented by practical insights from an Ethical Finance internship. Completed the Cambridge Islamic Finance Structuring Master, showcasing a global perspective. Proven proficiency in diverse Python projects, eager to contribute to impactful educational endeavors. https://www.linkedin.com/in/hafiza-anam-masood-ba7b09121 , Email: drhafizaanam@gmail.

analytics tools and event tracking systems. Spearheaded the integration of Strapi (a content management system), enhancing the team's ability to quickly produce pages and distribute content . Pioneered the integration of LLM model API services. Research Assistant, Academia Sinica 11//2020 Conducted research in deep learning-based Natural Language Processing (NLP), exploring innovative approaches in machine learning. Experimented with various training methods and models, including multi-task learning and language models such as BERT. Authored a publication titled "Detecting Deceptive Language in Crime Interrogation". Investigated Memory Networks and applied them to develop

+ years' experiences in NLP, Computer Vision, recommendation system. Passionate about machine learning, data mining, NLP, Computer Vision and big data analytics. Skills Programming Languages C/C++ Python SQL R Swift Java Data Engineering / Machine Learning Tools Scikit-Learn, Numpy, Pandas Tensorflow, Keras, Pytorch NLP: Gensim, Jieba, BERT Visualization: pyplot, ggplot2 Similarity Search: Faiss Workflow: Airflow Cloud: GCP BigQuery, GAE, GCE, GCS, Dataproc, Dataflow, Data Studio DB: MySQL, PostgreSQL Search Engine: ElasticSearch Distributed Computing: pyspark Docker Domain Knowledge Machine Learning: SVM, Logistic Regression, Random Forest, GBM,...etc. Deep Learning: CNN

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