Fabrizio Campo

• ● Designed and evolved a scientific analytics platform from single-use architecture into a scalable multi-domain system supporting multiple prediction workflows and scientific use cases, enabling independent evolution of domain-specific modules.

• ● Delivered and owned end-to-end implementation of core scientific systems across Angular and Spring Boot, including compound comparison, pattern matching, reporting, and prediction workflows, ensuring consistent system behaviour, reduced regression risk, and production stability in a regulated environment.

• ● Built multi-dimensional scientific analysis and decision-support systems translating complex computational outputs into structured, interpretable insights, improving consistency and reliability of domain expert evaluations across chemical similarity assessments.

• ● Architected reactive visualisation and interpretation tools enabling scientists to analyse chemical similarity across multiple scientific dimensions (mechanistic, physicochemical, metabolic), improving interpretability and decision quality.

Domain Engineering and Product Impact