Engineering across domains.

A personalised learning platform that adapts in real time to how each user processes information — pairing computer-vision engagement signals with LLM-driven content adaptation, deployed on AWS Bedrock.

Browser-native, markerless motion analysis from standard video. Transformer-based pose modeling extracts fine-grained motor signals and tracks them longitudinally — no wearables or lab hardware.

A RAG system for legal research that segments documents into canonical units with GLiNER, reranks for relevance, and uses LLM-as-judge to validate every answer against its source passages.

Automated identification, segmentation and redaction of sensitive content across scanned and digital documents — engineered for regulated, high-volume pipelines.