Work
Built for real problems.
Capability areas across applied machine learning, AI engineering, analytics, and the production platforms that put data science to work, all on real data for real businesses.
Machine learning research
Applied ML research: crop disease detection
A robustness-engineered hybrid CNN-Transformer that closes the lab-to-field accuracy gap for smallholder farmers using budget phones.
AI engineeringAI agent orchestration
AI agents that query live enterprise databases in real time, with governance layers that make fabricated answers architecturally impossible.
Enterprise integrationLive ERP integration
Connecting to production ERP environments, reverse-engineering undocumented schemas, and building analytics pipelines on dirty enterprise data.
Legacy modernisationLegacy system modernisation
Replacing fragile legacy systems with secure, modern web platforms, from undocumented databases to a single trustworthy source of record.