Valerio Bitetta
Machine Learning Engineer Data-driven Products & Strategic Partnerships
Milan, Lombardy, Italy
Summary
👤
Senior🎓
Top SchoolValerio Bitetta is a Machine Learning Engineer with 10 years of experience applying physics-rooted engineering rigor to data-driven products in banking, insurance and mobility risk. He has led ML solutions and small teams at UniCredit and Swiss Re, building production libraries and automated workflows for portfolio analytics and ADAS risk scoring, and now works on strategic data products at msg global solutions. His background in experimental physics and early research roles (CERN, Fermilab, Politecnico di Milano) gives him uncommon fluency in both low-level instrumentation thinking and high-level statistical modelling. An active contributor to community projects, he fixed simulation and VQE-related issues in the well-known Qiskit Textbook repository, reflecting an ongoing interest in quantum computing applied to finance. Valerio combines domain expertise in banking and insurance with practical software engineering to turn complex models into actionable, production-ready systems.
10 years of coding experience
9 years of employment as a software developer
École PolytechniqueMaster's degree Physics Engineering, Master's degree Physics Engineering at Politecnico di MilanoIstituto Tecnico Industriale Statale "Magistri Cumacini"
Italian, English, French
Github Skills (9)
quantum-computing10
debug10
qiskit10
python10
error-correction9
refactoring8
automations8
automation8
refactor8
Programming languages (3)
Github contributions (5)
qiskit-community/qiskit-textbook
Mar 2021 - Mar 2021
[ARCHIVED] A university quantum algorithms/computation course supplement based on Qiskit
Role in this project:
Back-end Developer & Automation Engineer
Back-end Developer & Automation EngineerContributions:20 commits, 6 PRs, 2 comments in 24 days
Contributions summary:Valerio primarily contributed to the codebase by addressing bugs and adding features to the Qiskit textbook. They added shots when running simulated experiments to correct printed averages and fixed broken cells output in the VQE molecules section. Moreover, the user updated the code to use `ibmq_lima` as the quantum device. They also performed typo corrections and made changes to various code cells related to the error correction repetition code.
computationqiskit-textbookquantum-mechanicsquantum-computingsupplement
vabite/ibm-quantum-challenge-2021
May 2021 - May 2023
For IBM Quantum Challenge 2021 (May 20 - 26)
Contributions:1 push, 1 branch in 1 year 11 months
ibm-quantumquantumibmquantum-computing
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