
Hardware-aware SNN Framework
A PyTorch-based framework for developing spiking neural networks with deployment-aware support for Intel Loihi neuromorphic hardware.
Selected work
Engineering and research projects across SNN inference, neuromorphic deployment, event-based sensing, and technical tooling.

A PyTorch-based framework for developing spiking neural networks with deployment-aware support for Intel Loihi neuromorphic hardware.
A live inference pipeline for spoken digit recognition using spiking neural representations and temporal feature processing.
Deployment-oriented exploration of spoken digit classification on Intel Loihi for efficient neuromorphic inference.

High-speed classification of event-camera streams using sparse, asynchronous representations optimised for low-latency neuromorphic pipelines.
Event-based sensing project that estimates string dynamics from sparse visual events for low-latency guitar tuning.
A focused technical utility for normalizing references into IEEE style with clean parsing and reproducible formatting.