Vinod Anbalagan

ML engineer and independent researcher working on representation learning, multimodal AI, world models, and efficient learning. I build models, datasets, evaluation systems, and research artifacts in JAX, PyTorch, and Python, with a focus on understanding what models learn and how learning objectives, architectures, and constraints shape their representations.