Fabrizio Campo

I’m a Full Stack Software Developer with 5+ years of experience building scalable Java and Angular applications in regulated scientific environments. I bring a first-class foundation in Artificial Intelligence and Computer Science, and I focus on integrating AI into development workflows to boost productivity, streamline delivery, and support engineering decision-making.

At LhasaLimited, I contribute across multiple product areas within a regulated scientific platform ecosystem for chemical safety and risk assessment. I designed and evolved a scientific analytics platform from a single-use architecture into a scalable multi-domain system, and I owned end-to-end implementation of core systems across Angular and Spring Boot for compound comparison, pattern matching, reporting, and prediction workflows.

I built multi-dimensional scientific analysis and decision-support systems that translate complex computational outputs into structured, interpretable insights, improving consistency and reliability of domain expert evaluations. I also architected reactive visualization and interpretation tools so scientists can analyze chemical similarity across mechanistic, physicochemical, and metabolic dimensions—reducing downstream rework by 60–70% through early alignment and validated scientific logic.

I embedded AI-assisted engineering across the SDLC, integrating tools such as Cursor, Claude, Copilot, Junie, CodeRabbit, and Rovo to accelerate feature delivery by 30–40% and reduce PR iteration and debugging effort by 30–40%. I improve reliability by automating CI/CD with Jenkins, Docker, Kubernetes, AWS, Bitbucket, and SonarQube, reducing pipeline failures by 25–35% to strengthen production stability.