Davide Spallaccini
Software Engineer (SRE) at Bank of Italy
Rome, Lazio, Italy
Summary
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Senior🎓
Top SchoolDavide Spallaccini is a Software Engineer (SRE) with 10 years of experience building ML-driven and production-grade systems across energy and finance sectors. He blends expertise in NLP, deep learning, time series forecasting, MLOps and linear optimization to deliver forecasting platforms, optimization services and AIOps solutions—most recently ensuring observability and reliability for European Instant Payment systems at the Bank of Italy. At Enel he designed Kubernetes-deployed Airflow ML infrastructure and reusable forecasting frameworks that improved price-peak predictions and were adopted company-wide, and his demand-response optimizer demonstrated real savings in live VPP tests. He pairs research instincts (RoBERTa-based WSD work during his master's) with pragmatic engineering: automated integration testing, Spark processing of 10M meter datasets, and production transformer deployments on AWS. Based in Rome, he is comfortable operating at the intersection of algorithms, scalable infrastructure and domain-specific constraints in energy markets. A detail that often goes unnoticed: he has repeatedly translated complex regulatory and business rules into formal constraints used directly by MILP solvers and production orchestration.
10 years of coding experience
5 years of employment as a software developer
School of Artificial Intelligence Scholarship Artificial Intelligence Machine Learning NLP, School of Artificial Intelligence Scholarship Artificial Intelligence Machine Learning NLP at Pi SchoolComputer Science, Computer Science at UdacityMaster's Engineering in Computer Science, Master's Engineering in Computer Science at Sapienza Università di RomaLiceo Scientifico Statale "Tullio Levi Civita"
Italian, English, Spanish
Stackoverflow
188reputation
17kreached
4answers
3questions
Github Skills (23)
lstm10
prediction10
arxiv10
deep-learning8
time-series8
keyboard7
machine-learning7
tensorflow7
parsing6
string-parsing6
python6
ensemble-learning6
deep-neural-networks5
macos4
coreference3
Programming languages (4)
Github contributions (5)
spallas/wsd
May 2018 - Jun 2020
Contributions:401 commits, 2 pushes, 2 comments in 2 years 1 month
spallas/quora-qp
Dec 2018 - Sep 2019
Contributions:35 commits, 9 pushes in 8 months
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