Summary
Gian Ghiandoni is a CheMLOps team lead and Associate Principal AI Engineer with eight years of experience applying computational chemistry, medicinal chemistry and machine learning to accelerate drug discovery. At AstraZeneca he builds and operates cloud-native MLOps and LLMOps platformsโleading delivery of agentic generative design (ChatInvent) and a precision modelling framework that drove billions of property predictions and widescale adoption of predictive models. He has repeatedly transitioned monolithic chemistry systems into microservices, slashed model deployment times, and automated model lifecycles to save hundreds of engineering hours annually. Beyond industry, he contributes to the field as an associate editor of the Journal of Cheminformatics and secretary of the UK Molecular Graphics and Modelling Society, reflecting a rare blend of hands-on engineering, domain science, and community leadership. An intriguing thread through his work is the combination of deep organic/medicinal chemistry knowledge with software engineering discipline to make AI tools directly useful to bench scientists.
7 years of coding experience
4 years of employment as a software developer
Master's degree Organic Chemistry (Subsidiary Computational Methods), Master's degree Organic Chemistry (Subsidiary Computational Methods) at Universitร degli Studi di Perugia
Doctor of Philosophy (PhD) Chemoinformatics, Doctor of Philosophy (PhD) Chemoinformatics at The University of Sheffield
English, Italian