I am an AI Engineer specializing in translating complex, unstructured enterprise workflows into secure, high-accuracy automated systems. With a strong focus on explainable AI and policy-compliant governance, I build autonomous multi-agent architectures that process real-world data efficiently. For example, I have developed autonomous verdict generation systems achieving 94.9% live accuracy and reverse-engineered OCR pipelines to boost extraction reliability from 70.1% to 99.48%. My expertise spans deploying dynamic Pydantic schemas for LLM orchestration, creating adaptive NLP pipelines with dedicated Arabic normalization, and writing precise data integration scripts—such as optimizing ETL processes to enforce strict deduplication by isolating unique identifiers to a single column, like column D, rather than relying on multi-column checks. From stakeholder discovery and workflow design to final production handover in environments like SAP and Azure, I deliver end-to-end solutions that prioritize precision, transparency, and operational seamlessness.