System Implementation:• Improved operational efficiency by meticulously maintaining and upgrading the portfolio management system, ensuring seamless data extraction through API• Optimized high-volume email data transfer into Excel/Word using Apache POI, enabling expanded analytics and business insights• Increased data team productivity through automated daily market data integration using a Python ETL pipeline, including JSON API response parsing• Enhanced system security and improved usability by upgrading the Angular framework and open source libraries• Built customizable filters to automatically organize high-volume inboxes for multiple departments in email management systemData Engineering:• Developed regex-based spam detection, streamlining inbox organization, resulting in improved user experience and enhanced engagement• Streamlined test cycles and comprehensive validation by developing scalable, modular test automation using Selenium and Cypress• Leveraged XPath and CSS selectors for accurate element selection and verification in automated testing• Automated large-scale web scraping using XPath and CSS selectors to extract thousands of records for business analytics and machine learning model training• Employed MQ for swift real-time configuration updates in large-scale proprietary trading platforms, optimizing trading operations• Reducing failed deployments during database changes by using XML scripts to encapsulate SQL transactionsAgile Software Development:• Demonstrated commitment to professional growth by actively engaging in knowledge-sharing sessions, increasing team collaboration and productivity• Actively participated in daily Agile meetings, proposing solutions and addressing challenges and blocking issues

• Assisted students to acquire the most of class experience by answering questions, troubleshooting and debugging students’ source code on Windows, Linux and macOS• Alleviated instructors' workload and enhanced the learning experience in a class of 40+ students• Improved student comprehension and success rates in machine learning courses by creating UML diagrams explaining core concepts• Provided reference architecture in Flask and suggestions for student projects, enabling them to turn concepts into functioning applicationshttps://github.com/james5825/flask-sim-template

Data Visualization:• Visualized data insights through interactive charts (including bar charts, pie charts, line charts, scatter plots, heat maps, and tree maps) and graphs using Apache ECharts to identify trends for ML modeling• Integrated GIS system with asset benchmark tools to provide clients efficient interface for decision-making and spending plansData Engineering:• Built Python Django REST APIs to integrate data science algorithms on front-end• Boosted data processing by implementing auditing tools (monitoring the availability and validity) to ensure quality training data • Developed scalable MongoDB management system with Node.js and Angular to support ML data storage needs• Accelerated client onboarding by developing a dynamic database schema generator by tailored DDL based on JSON configurations• Enhanced data importer to handle large volumes of asset data ingestion and format error correction for over 10 thousand asset data• Optimized Spark performance using partitioning/broadcasting benefiting ML algorithm processing

• Developed curriculum and taught a 4-month bootcamp covering Spring Boot, Angular, Microservices and Docker• Adapted teaching strategies and materials to meet individual learning needs, preparing customized coursework and videos• Helped students build professional skills in modern full-stack development tools and cloud-native architectures