Alberto Clemente

Design and build complete AI systems end to end, including agents over private data, RAG pipelines, MCP tooling, and workflow automation, deployed on Vercel, Railway, and major clouds. Sole engineer on multiple products from architecture to distribution.

Authored company-wide SOPs for AI implementation and led an 11-person team, owning delivery end to end across concurrent studies. Designed data models, automated validation logic, and executed UAT plans.

Led development of AI applications to optimize trial data management and reporting across five studies, integrating new methods into the standard operating framework. Mentored 14 junior data scientists and taught a clinical data management course.

Directed cross-functional teams and external technology vendors across 20 concurrent projects, managing study databases end to end and implementing automated edit checks.

Led the data management unit for a national study spanning 82 clinical sites and 1,200 patients, with validation rules implemented in R. Managed data for five phase II-III oncology trials and rare-disease trials across European sites.

Certified Proficient AI Engineer, covering LLM engineering, RAG, QLoRA fine-tuning, agent architectures, MCP, and MLOps deployment.

BSc Health Sciences with studies in epidemiology, public health, human biology, and pathology. Also earned a CertHE Health Sciences in 2018.