Build and maintain user interfaces, APIs and pipelines; rapidly turn ideas into MVPs; own implementation and architecture; support releases with documentation and maintenance; contribute to code review, tooling, and product demos to drive customer impact.

Develop and productionise ML models (CNNs, U-Nets, vision transformers, gradient boosting) on optical, SAR and LiDAR data to map plantations, detect change, and estimate biomass. Design validation, uncertainty quantification and QA artefacts, build embedding-driven workflows, and partner with Engineering to deploy scalable inference pipelines while contributing to research culture and cross-functional product delivery.