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chose to return to the campus to continue to enrich myself. Elective Courses-8 subjects with a total average score :85.4 and GPA : 3.9. ➤ Advanced artificial intelligence: use Google Colab to analyze pm2.5 air pollution data, and use linear regression to predict stocks, use C# to write fish identification in the final report and automatically bring it into the optional cooking menu. ➤ Advanced data mining and huge data analysis: Use python and use google API search engine to compose automatic answering robots. ➤ Image processing: Use Visual

This application provides users with enhanced services through real-time conversations and utilizes AI technology to rapidly assess the security status of customers' endpoints, servers, and related information. Actively engaged in the project from its initial conceptualization. ・ Targeted Attack Detection (TAD) (MarchPresent): Collaborated with the data team to predict potential attacks on customers early and notify them about attack patterns and probabilities. This helps customers take proactive measures to prevent ransomware. Underwent several major revisions during the project. ・ Executive Dashboard App (FebruaryApril 2023): Focused on user interaction and the development of various highcharts charts.

庫: 自動化LIS 2019 KPI系統: 胚胎實驗室、分生實驗室 2018 臨床資料庫: 電子化 醫學發表 https://orcid.org/臨床療程 Using an Interpretable Machine Learning Model to Predict Corifollitropin Alfa Protocol. Fertility & Reproduction. 2023;5:Lai HH, Kuo EE, Li RS, Chuang TH , Huang YC, Hsieh JY, Chang TA, Huang YL, Hsieh WT, Su YR, and Liu M. (醫療AI模型) A Patient Friendly Corifollitropin Alfa Protocol without Routine Pituitary Suppression in

factors, and updating alert lists. Implemented Autoencoder + contrastive learning to achieve a 1.81% improvement in model effectiveness. Coupon Recommendation Objective: Personalized coupon recommendations for mobile banking users to increase click-through rates and redemption rates. Responsibilities/Achievements: Utilized multi-task learning to simultaneously predict click-through behavior and coupon redemptions, resulting in a 14% increase in click-through rate and a 74% increase in redemption rate. Created performance tracking reports to monitor online model performance and provide insights to Business Units. Financial Product Recommendations Objective: Tailored financial product recommendations for mobile

Leveraged frame similarity to speed up CNN-based object detection and semantic segmentation models, e.g. FPN, PSPNet, YOLO, Faster-RCNN, and SegNet. Proposed a multimodal CNN achieving high fine-grained classification accuracy. The model was trained with both web images and its tags, and could predict solely with image in future testing phase. Under Graduate Research Assistant, SepAug 2014 Speech Processing Laboratory, NTU Researched in Deep Neural Network and Probabilistic Graphical Model, including Recurrent Neural Network and Regularized Mixture Model Surveyed various word embedding method, including Recurrent Neural Network (RNN), word2vec, paragraph vector.

. Developed cryptocurrency copy trading systems and term arbitrage strategies: Implemented term arbitrage strategies using WebSocket technology to monitor market quotes in real-time, significantly enhancing the speed of data updates and system response compared to traditional polling methods. Processed time-series data using pandas to accurately analyze and predict market trends, dynamically adjusting trading algorithms to optimize the risk and return of investment portfolios. Quantitative Researcher at Algoreality. , JanDec 2022 Designed a grid trading robot using Python multithreading technology and asyncio for efficient asynchronous calls to the Binance API, significantly enhancing the execution speed of trading

Sitefinity and Umbraco) Maintenance Microsoft Business Central and MS Power BI for Tunglok Singapore EORS4 project for XCHAINHongkong (.NET Core) Planning and executing project scopes, managing timelines, and deadlines. Tracking and reporting on overall progress. Manage daily operations of brand new programs and metric the objective.- Predict project revenue and ensure all goals are met Senior Dotnet Developer CyberQuote Pte Ltd JuliDesember 2020 Surabaya, Taiwan Lorem ipsum dolor sit amet, consectetuer adipiscing elit, sed diam nonummy nibh euismod tincidunt ut laoreet dolore magna aliquam erat volutpat. Lead Project Coordinator VOX TENEO DesemberJuli 2019Taipei, Taiwan Lorem