I'm a machine learning enthusiast interested in machine learning systems, robotics, and probabilistic modelling. Most of my projects explore how learning algorithms interact with real systems; simulations, data pipelines, and decision processes.
- Representation learning
- Vision-Language-Action and world model architectures
- Probabilistic modelling and mixture density networks
- CLIP-Flax: Library for importing CLIP weights from PyTorch into JAX/Flax NNX with numerical verification.
- Hierarchical Reinforcement Learning
- Belief state estimation in POMDPs
- Email: williams.edi012@gmail.com
- LinkedIn: https://linkedin.com/in/williams-edi


