speed by 20%. - Designed a high-performance data warehouse on AWS, improving cross-team data accessibility and reducing query times by 35%. EDUCATION National Taipei University of Technology • Master’s Degree in Electronic Engineering MaySep 2019 | Taipei, Taiwan • Specialized in developing deep learning models for Natural Language Processing (NLP). • Developed classification systems for speech/audio using deep learning techniques. • Conducted research on image classification and recognition through deep learning methodologies. CERTIFICATIONS • Google IT Automation with Python, Coursera - FebPATENT • ABNORMAL SOUND DETECTION METHOD AND APPARATUS (USA1) - FebSKILLS Programming & Frameworks : Python, TensorFlow, Keras, PyTorch, scikit-learn

BO-GUAN JHOU Phone :| Email : [email protected] | LinkedIn : boguanjhou | GitHub: NeoJay0705 EDUCATION National Taiwan Normal University M.S. in Computer Science & Information Engineering SeptJuneNational Chin Yi University of Technology B.S. in Electronic Engineering SeptJuneSKILLS Programming : Java, Go, Python, C++ Web Development : Spring Framework, PostgreSQL, MySQL, Redis, MongoDB, Elasticsearch, RabbitMQ, Kafka, XXL Job, Microservices, Non-blocking IO (Netty), gRPC, Dubbo RPC, ELK Stack, Vue.js DevOps: Docker, Kubernetes, GCP, GitHub, GitLab, Shell Scripting Others: Git, Design Patterns, Clean Architecture, Machine Learning, Tensorflow, NLP WORK EXPERIENCE Gram Backend Software Engineer OctOct

Thomas Richardson Woodstock, IL, United [email protected] https://www.linkedin.com/in/thomas-r-a3b944296/ As a Senior Full Stack Developer, I specialize in crafting innovative solutions that span web, mobile, and blockchain platforms, leveraging a comprehensive blend of front-end, back-end, AI, NLP, and decentralized technologies. With expertise in modern front-end frameworks such as React, Angular, and Vue.js, I create dynamic and responsive user interfaces that enhance user engagement and accessibility. My proficiency extends to mobile application development using React Native, ensuring consistent

and improving development efficiency. Optimized website performance with server-side rendering, caching, and resolving critical issues like Algolia-related server-side crash. Mentored team members on React best practices, fostering a collaborative and skilled team environment. Research Assistant, Academia Sinica 11//2020 Conducted research in NLP and machine learning, focusing on models like BERT and multi-task learning. Authored a publication: "Detecting Deceptive Language in Crime Interrogation," presented via a recorded session at an NLP conference. Developed a Memory Networks-based application for detecting deceptive language in collaboration with an international research team

js) 實作項目：動物分類、房價預測、鐵達尼號生存預測、汽車價格預測、年薪分類預測、保險支出預測、企鵝分群、即時匯率視覺化 自然語言處理 Azure (Language Service、Speech Service、Translation Service)、Line Bot、Language Model - 對話式語意分析 實作項目：文字情緒辨識機器人、雙向翻譯機器人、多國語言翻譯

Chun Shan, Wang [email protected] A skilled ML engineer with 5 years of experience in deploying NLP-based systems across various domains including education, e-commerce, and psychology. Proficient in service development, model lifecycle management, fine-tuning LLMs and BERT, and creating MLOps environments. Experienced in building ML services with model fine-tuned, API development, backend development with Python/FastAPI, and frontend development with React. Adept at enhancing product quality through CI/CD, Kubernetes, and performance testing. EXPERIENCE Data Engineer,, TSMC Modernized Data Processing Infrastructure: Successfully refactored the data

Tsungwei, Liu AI RESEARCHER/AI DEVELOPER Email: [email protected] | Phone:Taipei City, Taiwan Professional Summary AI Team Lead and Researcher with 6+ years experience in developing AI solutions and products. Expertise in LLMs, NLP, and machine learning. Proven ability to lead cross-cultural teams and drive innovation in AI applications across industries. Skill Sets - AI/ML: LLM fine-tuning, RAG, PyTorch, Scikit-learn, Hugging Face, Gensim, LoRA, PEFT, LangChain, llama.cpp, BERT, Transformer models - NLP: Spacy, Word2Vec, Named Entity Recognition, Sentiment Analysis, Prompt Engineering - Data Processing & Databases: Elasticsearch, Neo4j, SQL