My research focuses on AI-driven financial automation, combining OCR, NLP, and RPA to extract invoice data accurately. I explore explainable AI and cryptographic methods for secure processing, and build scalable models and DevOps pipelines to deploy intelligent systems that enhance efficiency and transparency in enterprise finance operations.
Zero-Shot Invoice Information Extraction Using Foundation Models with Spatial Prompt Tuning at International Journal of Intelligent Systems and Applications in Engineering (IJISAE) DOI :https://doi.org/10.17762/ijisae.v13i1s.7722
Secure Document Automation Using Blockchain Anchors and AI-Validated Semantic Hashing for Invoice Integrity at Journal of Information Systems Engineering and Management (JISEM) DOI: https://doi.org/10.52783/jisem.v10i55s.11629
Enhancing Financial Approvals with AI-Powered Predictive Automation: Optimizing Invoice Management and Vendor Risk Assessment at European Journal of Computer Science and Information Technology (EJCSIT) DOI: https://doi.org/10.37745/ejcsit.2013/vol13n172738
The Future of Human-AI Collaboration in Manufacturing Finance: Streamlining Cost Management and Vendor Payments at Journal of Computer Science and Technology Studies (JCSTS) DOI: https://doi.org/10.32996/jcsts.2025.7.3.59
AI-Enhanced OCR for Financial Document Processing: Advancing Recognition Accuracy in Modern Enterprise Finance" at World Journal of Advanced Research and Reviews (WJARR) DOI:https://doi.org/10.30574/wjarr.2025.26.2.1653
Transforming financial operations: Integrating SAP OpenText VIM, AI-Powered OCR, and RPA for advanced invoice processing and junk document elimination at World Journal of Advanced Engineering Technology and Sciences (WJAETS) DOI : https://doi.org/10.30574/wjaets.2025.15.2.0620
