Machine Learning Engineer with 6+ years of experience building and deploying large-scale ML systems for payments, fraud detection, and high-performance AI platforms. Proven expertise in developing end-to-end ML pipelines, real-time inference services, and GPU-accelerated training workflows. Strong background in supervised and unsupervised learning, feature engineering, and model optimization on large datasets. Hands-on experience with PyTorch, TensorFlow, Kubernetes, and MLOps best practices. Demonstrated success in improving model accuracy, reducing latency, and scaling ML solutions to millions of users. Adept at collaborating with cross-functional teams to translate business and research requirements into production-ready AI systems.