Summary
Riccardo Di Sipio is a Senior Software Developer and Machine Learning Engineer with over 15 years bridging experimental high-energy physics and production ML, including a decade at CERN contributing to the Higgs boson program. He now designs NLP-driven candidate-job matching systems at Dayforce with an emphasis on transparency, feedback-aware models, and human-centered product outcomes. His background in Bayesian methods and large-scale LHC DAQ gives him deep expertise in robust ML system design, scientific rigor, and cross-functional collaboration. Riccardo has led technical teams and research efforts—from convening ATLAS subgroups to postdoctoral work at U of Toronto—bringing disciplined experimentation into product development. He’s also exploring how emerging quantum computing techniques can practically augment ML workflows, reflecting a curiosity for frontier tech that informs pragmatic, ethical AI solutions.
10 years of coding experience
15 years of employment as a software developer
PhD High Energy Particle Physics, PhD High Energy Particle Physics at Alma Mater Studiorum – Università di Bologna
English, French, Italian