Machine Learning Engineer
I’m a Machine Learning Engineer specialising in reinforcement learning, world models, and distributed post-training for embodied robotics.
My work spans world models, Lyapunov stability functions, and sim-to-real transfer for humanoid robotics, with algorithms implemented from scratch in JAX and PyTorch. I’ve published at ICRA, NeurIPS, and IROS, and serve as a reviewer for top ML and robotics venues.
Previously, I’ve held research roles at Cambridge Consultants (humanoid RL & VLAs) and Agile Loop (agentic AI pipelines), where I led teams and delivered production research to clients including Google Cloud and Lenovo.
Research Interests
- Reinforcement learning for robotic control
- VLA/WAM post-training
- Neural Lyapunov functions for stability
- Continual, multi-task and meta-learning
- World models and model-based RL