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data. ETL data and construct data pipelines for retraining models/in production. Working in RPA( Robotic Process Automation) team, Web Scraping(crawler) and automating routine tasks to achieve labor cost reduction. JuneMay 2020 Data Scientist Intern @ Cathay Financial Holdings. 國泰金控 Digital data & Technology (DDT, 數數發) Research into Interpretable Machine Learning and its existing algorithms. Experimented LIME & SHAP on open data. ( GitHub ) Real Estate Evaluation model – Geographical/Credit Card data gathering, cleaning, feature engineering (Hit-rate performance improved from 55% to 70%) Python Machine learning Data Pipelines

Jiang Sirius Creative problem solver & seasoned Backend Engineer (7+ years) | Master of Node.js & Python | Architecting performant, cloud-based solutions | Driving engagement & optimizing systems | Eager to contribute & amplify your tech stack. Hong Kong Work Experience Back-end Engineer • Commenter.ai Decemberpresent • Achieved a 10% increase in comment generation throughput through performance optimization techniques •Implemented a novel algorithm that improved comment relevance by 15%, leading to increased user engagement •Developed a scalable data processing pipeline that allowed for frequent AI model updates, enhancing comment accuracy •Collaborated with the AI and frontend teams to ensure flawless integration and

Vladimir Chikishev Experienced professional backend developer specializing in the creation of cross-platform applications from conceptualization and architecture to production. With over 5 years of expertise, my strong foundation in data structures, mathematics, and system design aligns seamlessly with my proficiency in C/C++. Additionally, I've utilized Java, JS, and Python in various projects. I have a keen interest in microservice architecture, multithreading, and game engine development. Well-versed in object-oriented programming, SQL database engines, CI/CD, and version control systems. My goal is to contribute to a company

UI Development & Interaction Design Convertro Led Convertro Dashboard development team through an acquisition by AOL, and later an acquisition by Verizon. Responsible for managing the user experience and interactivity for Convertro's Dashboard. Iterating on the user interface constantly to make sure that Convertro's incredible wealth of data is both easy to understand and simple to navigate. Work in conjunction with the product team to develop new and innovative methods of gaining utility from marketing analytic platforms. Leading change of dashboard codebase to industry standards, including ReactJS. JulySeptember 2012 Front End Software Engineer Coverity

United Bank to develop a POC project and integrate APIs into the LCB project. Developed payment APIs with 3rd-party companies like KGI bank and CTBC bank. MongoDB Reduced 70% MongoDB database server CPU usage by analyzing MongoDB slow queries and optimizing indexes. Improved the web console data loading speed by 80% by applying correct MongoDB indexing strategies. AWS Maintained and monitored all AWS services in our company (about 50 AWS EC2 instances). Developed a web-socket-based notification system with about 170k weekly channel publishing. Conducted a major system migration from AWS EC2