
Andra Iasmina developed and enhanced PDF processing utilities for the IP-A2-2025/Quizzy repository, focusing on scalable batch document handling. She built a multithreaded PDF-to-text conversion tool in Java, leveraging concurrency and file I/O to enable parallel processing of large directories, which improved throughput for course material preparation. In subsequent work, she refined the pipeline with robust error handling, input validation, and resource management, addressing edge cases and increasing reliability. Andra also improved PDF-to-image rendering, streamlining code and supporting conditional processing paths. Her contributions emphasized maintainability and performance, demonstrating depth in backend development, multithreading, and OCR processing.

May 2025 monthly summary for IP-A2-2025/Quizzy: Delivered key PDF processing enhancements to improve reliability, OCR quality, and processing throughput. Cleaned up test/debug traces and prepared the rendering path for scalable batch processing. The work emphasizes business value through faster, more reliable document handling and higher quality output.
May 2025 monthly summary for IP-A2-2025/Quizzy: Delivered key PDF processing enhancements to improve reliability, OCR quality, and processing throughput. Cleaned up test/debug traces and prepared the rendering path for scalable batch processing. The work emphasizes business value through faster, more reliable document handling and higher quality output.
Monthly work summary for 2025-04 focusing on feature delivery and performance improvements in the Quizzy repo. Delivered a multithreaded PDF-to-text conversion utility to enable parallel batch processing of PDFs within a directory (e.g., 'courses'), significantly increasing throughput. No major bugs fixed this month in this repository; primary value comes from performance and scalability gains for document text extraction.
Monthly work summary for 2025-04 focusing on feature delivery and performance improvements in the Quizzy repo. Delivered a multithreaded PDF-to-text conversion utility to enable parallel batch processing of PDFs within a directory (e.g., 'courses'), significantly increasing throughput. No major bugs fixed this month in this repository; primary value comes from performance and scalability gains for document text extraction.
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