saurav singla

Focused on applied machine learning in fraud detection, anti-money laundering (AML), and graph-based risk modeling. Passionate about imbalanced classification, meta-learning, knowledge distillation. Interested in building scalable models that solve high-impact problems using probabilistic reasoning, temporal modeling, and graph neural networks.