Summary
Alessio Lombardi is a Machine Learning Engineering Manager with nine years of experience applying ML, computer vision and semantic technologies to AEC (architecture, engineering and construction) challenges at Buro Happold. He leads a small ML R&D team, winning multiple InnovateUK grants for CV and information retrieval projects and building production-ready pipelines using Python, PyTorch, Docker and Azure. Previously he developed core computational engineering frameworks, productivity APIs and ontological mappers, combining C#/.NET engineering with research that earned best-paper awards. He also teaches programming and FEM at UCL and has an MSc in Computer and Data Science (Distinction), reflecting a rare mix of academic rigour and applied engineering. Alessio pairs hands-on implementation with team upskilling and impact-driven R&D, often turning complex structural or semantic problems into practical, deployable tools.
9 years of coding experience
3 years of employment as a software developer
3 semesters of study Telecommunications Engineering, 3 semesters of study Telecommunications Engineering at Università degli Studi di Firenze
Perito Tecnico Industriale in Elettronica e Telecomunicazioni Electronic and Telecommunication Technology, Perito Tecnico Industriale in Elettronica e Telecomunicazioni Electronic and Telecommunication Technology at Istituto Tecnico Industriale Silvano Fedi, Pistoia
Master of Science - MSc MSc Computer and Data Science [Distinction], Master of Science - MSc MSc Computer and Data Science [Distinction] at Birkbeck, University of London
Master of Engineering - MEng Building Engineering and Architecture [108/110 - GPA equiv. 4.0], Master of Engineering - MEng Building Engineering and Architecture [108/110 - GPA equiv. 4.0] at Università di Pisa
Italian, English