Vishal Bahirwani

Machine Learning Lead with 10+ years of experience building and scaling production machine learning systems for high-impact, real-world applications. At Capital One, I lead R&D initiatives focused on large-scale fraud detection and anti-abuse systems. My work spans user behavior modeling, graph-based feature engineering, and customer embeddings to uncover complex fraud patterns across Card products. By partnering closely with product, risk, and engineering teams, I have led the development of multiple production ML models that proactively detect fraud, contributing to over $50M in annual fraud loss prevention. Previously, at Oracle Health, I contributed to the Population Health platform, developing scalable data pipelines and improving platform performance for Healthcare clients. My expertise spans machine learning, graph-based modeling, data engineering, and production ML systems. I am particularly interested in translating advanced research into scalable, reliable systems that drive measurable business outcomes.