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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

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

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

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