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
Mathematical Optimization of AI-Based Document Processing Workflows Using Markov Decision Processes (UtilitasMathematica)
Cross-Page Semantic Mapping-Centric Invoice Information Extraction for Long Documents with Complex Layout Using Fsl-Ha-Layoutlmv2 (EMSJ) DOI: https://doi.org/10.59573/