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SQL queries to enhance processing speed and efficiency. • Streamlined the CI process to enable automated Git merge operation. • Developed a binary search-based logger to improve large file download speed. • Automated operational workflows by creating key scripts in Java. National Taiwan Normal University Graduate Student SeptAug• Natural Language Processing (NLP) Research Project: Focused on sentiment analysis to automatically identify positive or negative sentiments from user reviews. • Deep Learning Model Application: Utilized Convolutional Neural Network (CNN) architecture to enhance the accuracy of sentiment classification. • Word Embedding Techniques: Conducted in-depth research on word embedding techniques

Ryan Zheng I have over 8 years of experience in software development, specializing in web development with full-stack capabilities. In the early stages of my career, I was mainly involved in project development, but now I focus on system architecture design and leading and assisting teams in development. I have extensive experience in DevOps, big data, and natural language processing, and I am deeply passionate about data technology. In my spare time, I often develop tools to test new technologies, continually exploring new innovations and maintaining a sharp technical acumen. Currently, I am focused on

improving insights delivery 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

Patrick Hsu AI Research & Development As a seasoned AI engineer with six years of experience, I specialize in computer vision, 3D body model reconstruction, generative AI, and possessing some knowledge in natural language processing (NLP). | New Taipei City, [email protected] Work Experience (6 years) Algorithm Research & Design• TG3D Studio MayPresent A skilled engineer specialized in computer vision and generative AI with experience in developing and training AI models for digital fashion applications. Body AI: Virtual Try On Integrated cutting-edge technologies such as Stable Diffusion, ControlNet, and Prompt Engineering to create a sophisticated system for

hours daily for medical professionals. Calibrated and deployed a machine learning regression model for waveform predictions, enhancing accuracy for 500+ blood pressure monitors. Research Assistant Department of Computer Science, NCCU • August 2019–July 2020 Conducted opinion mining on 2,500 wine reviews using Transformer-based pre-trained language models. Delivered NLP coursework guidance to over 70 students as a Teaching Assistant. Account Manager Leo Burnett Taiwan • February 2017–May 2019 Orchestrated rebranding strategies for Chia Shin Cement Group, resulting in the only successful brand declaration campaign in five years. Localized branding materials and executed

but have also refined my teamwork and project management skills. Currently, I am a part-time digital transformation engineer at MAA Consultant Co., Ltd., where I focus on driving digital innovation and improving operational efficiency. I have cultivated a comprehensive professional background that encompasses data analysis, natural language processing (NLP), statistical analysis, and scientific simulation. My proficiency in programming languages such as Python, C++, and MATLAB enables me to design, develop, and maintain sophisticated software applications. During my time at university, I had the privilege of serving as the president of the

future organizational growth - Successfully retained a 4.6-star user rating and boosted job application rates by 10%. - Collaborated with the product owner, UI/UX designer, and sales department to design the AD system. • AI Implementation: Created an AI tool to convert UI test cases from natural language into UiAutomator2 scripts, seamlessly integrating them into the CICD process. This resulted in a 90% acceleration UiAutomator2 test case generation. • Technology Introduction: - Flutter: Developed an in-house App Dashboard to consolidate Android/iOS/backend CICD build statuses and test report outcomes. Single-handedly