DOMAIN LLM SYSTEMS
Training architecture, domain data preparation, parameter-efficient adaptation and functional evaluation planning for specialised RTL and hardware-design tasks.
ML PERFORMANCE
Performance engineering for clustering-visualisation methods, reducing compute overhead while preserving analytical usefulness.
APPLIED ML
Classification, feedback capture, confidence-aware routing and retraining architecture for practical email organisation.
Next step
Bring the domain, constraints and current system. We will help determine what is feasible, what should be measured and what is worth building.
Initial conversations are exploratory and confidential.