I love building things, optimizing, and solving technical problems.
Neural network optimization with a focus on pruning and graph optimization
Generative AI with a focus on diffusion models, and Computer Vision
Various tools and frameworks: Pytorch, ONNX, etc.
Snapshot
Research engineer at Nota AI, specialising in neural network optimization.
Experience
Research engineer at Nota AI, specialising in neural network optimization.
Selected Work
Initiatives spanning model compression platforms, on-device diffusion, and lightweight generative tooling.
End-to-end platform that automates pruning, quantisation, and deployment for edge AI.
Delivered model optimisation workflows powering customer deployments across NPUs and GPUs.
On-device text-to-image generation system targeting mobile NPUs with optimised diffusion models.
Achieved sub-second inference budgets through graph-level optimisations and quantisation.
Lightweight Stable Diffusion variant for fast and affordable creative tooling.
Open-sourced recipe adopted by builders experimenting with efficient image generation.
Writing
Deep dives into efficient diffusion, curriculum learning, and lessons from shipping neural network compression in production.
Writing in progress. Check back soon for new articles.
Let’s collaborate
Questions? Feel free to reach out.
Availability
I'm open to talk about anything.