
Worked on the MQSMaster repository to enhance article ingestion by implementing multi-source web scraping with deduplication, improving both the reliability and quality of collected content. Leveraged Python, Pandas, and Selenium to introduce a reusable scraping template, enabling future expansion to additional sources. Refactored the codebase to standardize date handling and streamline data processing, which increased maintainability and performance. The updates laid the foundation for broader API integration and scalable ingestion workflows, aligning with business goals for higher-quality content and faster refresh cycles. No major bugs were reported during this period, reflecting a focus on robust, forward-looking engineering solutions.
December 2025 monthly summary for MQSMaster: Delivered key improvements to article ingestion with multi-source scraping and deduplication, introduced a Selenium-based scraping template for future expansion, and tightened date handling and code structure to improve maintainability and performance. No major bugs reported this period. The work accelerates reliable content discovery across sources, boosts data quality, and lays groundwork for broader API integration, aligning with business goals of higher-quality content and faster refresh cycles.
December 2025 monthly summary for MQSMaster: Delivered key improvements to article ingestion with multi-source scraping and deduplication, introduced a Selenium-based scraping template for future expansion, and tightened date handling and code structure to improve maintainability and performance. No major bugs reported this period. The work accelerates reliable content discovery across sources, boosts data quality, and lays groundwork for broader API integration, aligning with business goals of higher-quality content and faster refresh cycles.

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