Zain Sharief

Data Engineer with experience building AI-augmented Intelligent Document Processing (IDP) solutions for enterprise finance workflows. Strong background in cloud-native architectures, GenAI-assisted document interpretation, rule-based validation, and audit-ready automation. Experienced in integrating LLMs with deterministic systems to deliver compliant, explainable, and production-ready solutions.

• Designed and implemented an enterprise-grade Intelligent Document Processing (IDP) solution to automate Manual Journal Entry (MJE) and Non-Cash Reconciliation workflows, reducing manual effort by ~60–70% and significantly improving month-end close efficiency. • Built an event-driven document ingestion pipeline using Power Automate, processing inputs from Outlook emails, SharePoint, and cloud storage, and eliminating 100% of manual file downloads and uploads. • Implemented OCR and document parsing pipelines (Azure Document Intelligence / Document AI concepts) to extract structured data from Excel, PDF, and text documents, achieving 90%+ extraction accuracy across various input formats. • Developed rule-based financial calculation and validation logic using Cloud SQL (PostgreSQL), including debit/credit matching, accrual ageing (>6-month checks), and threshold validations, reducing reconciliation errors by ~40%. • Integrated Vertex AI to perform contextual interpretation and classification of journal entries, including: Automated JE classification (accrual, reclass, correction, void) with >90% classification confidence AI-generated explanations for exclusions and exceptions Audit-ready reasoning aligned with approved accounting policies and controls • Applied RAG by grounding Vertex AI outputs in approved accounting rules, control documentation, and historical JE records, improving explainability and audit readiness while maintaining deterministic financial outcomes. • Automated generation of final JE output files and end-to-end submission to Oracle ERP, including status confirmation, error handling, and reporting, reducing manual posting effort by ~50%.

B. Tech in Computer Science Engineering (w/ specialization in Data Science) in Computer Science Engineering (w/ specialization in Data Science) Vellore Institute of Technology 

• GPA: 8.46 / 10