At US Bank, I build enterprise agentic AI and RAG systems for investment research, compliance, fraud detection, and document processing. My work reduced analyst research time by 55%, served 15K+ daily compliance queries, and improved fraud identification across $2B+ in daily transactions.
Previously at NYU Langone Health, I developed HIPAA-compliant clinical AI workflows, clinical NLP, readmission prediction, medical imaging, and reliable ML inference systems. I helped reduce manual chart review by 45%, improved guideline adherence by 25%, and supported clinical decision tools with 99.9% uptime.
Across Accenture, Barclays, Almug Technologies, and eBay, I’ve delivered credit-risk, fraud, recommendation, NLP, and large-scale data solutions. I pair LangChain, LangGraph, PyTorch, Hugging Face, cloud platforms, and MLOps with governance, evaluation, and monitoring practices built for production.

