Wenjing Li

1. Participated in IT general controls (ITGC) and IT application controls (ITAC) audits, reviewed 5,000+ user access records, and identified 4 high-risk internal control deficiencies;
2. Used CAATs to detect anomalies across full-population financial entries, reducing manual review time;
3. Wrote SQL scripts to perform full matching of purchase orders, goods receipts, and invoices, and validated system control logic through abnormal-scenario simulations.

1. Led testing and operation support for intelligent document-receiving machines, designed test cases, reported 15 issues, and improved document processing efficiency by about 80%;
2. Independently completed scanning and quality checks for 5,000+ business documents, and efficiently handled 60 document revisions and returns with 100% accuracy;
3. Standardized the binding of 80 vouchers and completed digital archive handovers, ensuring compliance with internal control and audit requirements.

This project systematically analyzes the structural impact, transmission mechanisms, and regulatory challenges of AI in the global labor market. It proposes a RegTech-enabled governance framework and cross-border policy coordination approach, arguing that technology and institutions jointly shape employment patterns in the AI era.

Targeting key pain points in tight gas exploration and development, this project developed a fracture information database and an AI-powered intelligent evaluation model. It improved data processing efficiency by 39.7%, increased the proportion of high-yield wells from 30% to 56.9%, and reduced single-well development costs by 25%. The core technology is internationally pioneering, has been implemented by Sinopec, and has secured RMB 3.66 million in orders, demonstrating strong technical barriers, commercial value, and strategic significance for energy security.