Davide Burba is a software engineer with 8 years of experience bridging backend engineering and machine learning, currently building sustainable data tools at ecoinvent in Switzerland. He has shipped SaaS backends and CI/CD-driven infrastructure on AWS while also developing forecasting and optimization models that delivered measurable cost savings for commodity trading clients. His background in mathematical engineering and a track record in AI research (including publications, patents, and a USAID competition win) give him a strong foundation in principled modeling and hierarchical time-series reconciliation. Colleagues value his pragmatic, curiosity-driven approach: he moves models from research to production via automation (autoML pipelines, internal libraries) and tackles technical debt to keep systems reliable. Not obvious from the title: he pairs hands-on backend work with domain-focused ML impact, often building tooling that shortens time-to-market by multiples.
8 years of coding experience
5 years of employment as a software developer
Erasmus, Erasmus at Université catholique de Louvain
Master's degree, Mathematical Engineering - Major in Applied Statistics, 110/110, Master's degree, Mathematical Engineering - Major in Applied Statistics, 110/110 at Politecnico di Milano
Collection of code examples used in blog articles. medium.com/@davide.burba
Contributions:7 PRs, 52 pushes, 7 branches in 6 months
forecastingmachine-learningpythonwebdevelopment
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