Speech ML Engineer & Applied Scientist · PhD Cognitive Neuroscience (UCL)
I build speech recognition systems for people whose speech doesn't fit the patterns mainstream AI was designed for — speakers with dysarthria, aphasia, and other neurological conditions.
- 🗣️ Whisper Clinical Speech — LoRA fine-tuning of Whisper for dysarthric speech. 47% WER reduction with 0.73% of parameters. Model on HuggingFace
- ⚡ Neural Inference — C++ header-only framework for on-device neural network inference
- 🔊 Few-Shot Sound Event Detection — Metric-based meta-learning for audio classification
I have an unusual path: Mathematics & Economics (LSE) → Computer Games (Goldsmiths) → Cognitive Neuroscience (UCL). At UCL I built NUVA — a CE-marked Class II medical device for speech recovery in aphasia using on-device speech recognition. Published at INTERSPEECH.
Python PyTorch C/C++ ASR Speech ML LoRA/PEFT HuggingFace On-device AI ExecuTorch Clinical AI MLOps