Building production ML systems for financial services and full-stack AI applications that ship. Currently at Fifth Third Bank.
I'm an AI/ML Engineer at Fifth Third Bank in New York, building production systems across fraud detection, credit risk, and NLP pipelines. My work sits at the intersection of machine learning research and real-world deployment constraints.
Before that I spent three years at Mphasis building financial services ML infrastructure. I hold an MS in Computer Science from Pace University (December 2024) with an obsession for making models that work under load, through data drift, and through audits.
Outside of finance, I build AI-powered consumer products. My focus is always on systems that are genuinely useful, not just technically impressive.
An AI-powered pet adoption and rental platform. Smarter listings, better matches, and a chatbot that actually helps you find the right pet.
A self-healing ML trading pipeline that monitors financial instruments for drift and retrains itself automatically. 4,800 lines. 30 files. No human in the loop.
Production fraud detection at Fifth Third Bank. 48K+ predictions per hour on Kafka streams. Sub-20ms inference. 32% accuracy lift over baseline.
A React application demonstrating a complete agentic fraud investigation workflow. Alert to verdict, with streaming AI, tool-use visualization, and multi-turn case management.
Open to senior ML/AI engineering roles in financial services and fintech. Also happy to connect on LangGraph, drift detection, or anything in the agentic AI space.
rohitrathod3272b@gmail.com ↗