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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

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

Muneeb Afzal - Full Stack Developer / Associate DevOps Taiwan Gold Employment Card (ARC /Work permit ) Taipei, Taiwan || [email protected] As an experienced Full Stack Web Developer and SEO specialist, I have a strong track record of creating, managing, and optimizing websites and e-commerce stores. With over 9 years of experience in web development, I possess in-depth knowledge of various web technologies, including PHP, Wordpress, Python, Django ,FastAPi , React JS NextJS, Redux, Routes etc, VueJS, HTML/CSS, Javascript, and APIs. I have proven experience in project management, team leadership, and

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

趙啟雲 chiyun chao A software engineer with 4 years of experience in AI model training and backend development. In the domain of machine/deep learning, I am familiar with: - focus on NLP(Natural language processing) and DPI(Deep packet inspection) - NLP networks such as Transformer, BERT, T5 - have experience with AI training platform development with mlflow, Label Studio, DVC In terms of backend development, I have the following experience： - backend framework: Spring boot, Flask - familiar with DB syntax for Elasticsearch, PosgresSQL and MSSQL Taiwan E-mail: [email protected] Skill languages Python JAVA backend

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