VUDYA PREMSAI

Worked on AI-powered document automation projects across four domains, taking full ownership of the QA process without any testing lead support. Responsible for end-to-end quality assurance, including test planning, execution, defect identification, workflow validation, and release readiness. Ensured product accuracy, stability, and usability across diverse client use cases.
Key Projects:

• Apcer (Pharmaceutical Domain): Automated extraction workflows using the Botminds platform to generate R3 XML format outputs. Validated extraction logic, metadata consistency, and XML schema alignment as per industry standards.
• BlackRock (Financial Domain): Extracted and validated financial data from PDFs in multiple languages. Focused on field-level accuracy, language-specific edge cases, and multi-regional formatting consistency.
• Cornell University (Academic/Research Domain): Developed a QA framework for a search-based platform indexing 11,435 bird species. Verified web scraping accuracy from 'Birds of the World,' and ensured relevancy and precision in user query outputs.
• Amicorp (Corporate/Finance Domain): Tested invoice data extraction and formatting workflows. Ensured correct mapping of fields, like invoice number, dates, amounts, and customer IDs, from varied invoice templates.

• Conducted root cause analysis to investigate the source of problems in production process.
• Analyzed customer complaints regarding product issues and provided solutions as needed.