Summary
Lev Denisov is a software engineer and researcher with 11 years of experience bridging compiler engineering, advanced hardware architectures, and sustainable computing. Currently a postdoctoral researcher and project manager at Politecnico di Milano, he leads HEAPLab’s contributions to multi-million euro EU projects and orchestrates cross-disciplinary teams to enable AI inference on hybrid analog–digital in-memory computing. His background mixes hands-on data and ML engineering—scaling TB/day streaming pipelines and parallelizing GPU training—with academic leadership as a Marie Sklodowska-Curie fellow and PhD researcher on approximate computing for energy optimization. He has both led teams and mentored engineers through role transitions, and he secures research funding while defining technical program directions for international workshops. Based in Milan, Lev combines production-grade systems experience with deep research credentials, uniquely positioning him for leadership roles that require people management and technical depth.
11 years of coding experience
9 years of employment as a software developer
Master's degree, Big Data Management and Analytics, Master's degree, Big Data Management and Analytics at Université libre de Bruxelles
Master's degree, Big Data Management and Analytics, Master's degree, Big Data Management and Analytics at Technische Universität Berlin
UPC Universitat Politècnica de Catalunya
Bachelor, Information Technology, Bachelor, Information Technology at Saint Petersburg University of Technology and Design
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Politecnico di Milano
Russian, English, French, Italian