I'm a software engineer building AI systems, from agentic workflows and retrieval to evaluation, observability, and the infrastructure that makes them reliable.
Outside work, I build things that make technology more useful in people’s lives, while trying to hold on to what makes each person and their experience distinct.
Developing enterprise GenAI applications for product support and software engineering. Contributions span context-aware retrieval, agent workflows, model evaluation, and inference optimisation, alongside shared infrastructure for memory, safety, recovery, and observability.
Worked on computer vision for inventory workflows, combining edge-model optimisation with CLIP-based classification. Quantised and benchmarked vision models and developed a pipeline for identifying industrial chemical labels.
Assistive speech recognition and communication that keeps literal alternatives separate from editable messages, with profile-scoped context and explicit controls over speech delivery.
View repositoryA Jetson and LEGO EV3 robot combining person recognition, active camera control, and route-checked movement. Identity continuity and state-bound inference tie actions to current observations.
View repositoryA source-aware vocabulary application with FSRS scheduling, durable review synchronization, and recoverable document ingestion. Semantic assessment explores how typed answers can be evaluated against intended meanings.
View repositoryDeveloped a cross-modal Transformer architecture combining facial and speech representations to study emotion recognition in children with autism spectrum disorder and intellectual disabilities.
A technical analysis of how structured-output constraints can interrupt repository investigation, and an architecture that separates tool-assisted analysis from output formatting.