Davide Gallitelli
Senior Specialist Solutions Architect AI ML - ASEAN at Amazon Web Services (AWS)
Brussels, Brussels-Capital, Singapore
Summary
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Senior🎓
Top SchoolDavide Gallitelli is a senior AI/ML solutions architect with a decade of experience and 7+ years at AWS, where he has driven global adoption of Generative and Agentic AI through product-led go-to-market strategies and scalable cloud-native architectures. He blends hands-on ML engineering—contributing SageMaker notebooks for XGBoost-based direct marketing workflows—with strategic leadership as a worldwide tech lead for low/no-code ML and GenAI. Known for translating complex business problems into pragmatic, high-impact solutions, he regularly delivers workshops, speaks publicly, and shapes product roadmaps to accelerate customer outcomes. Based in Brussels with roots across Europe and Singapore experience, he thrives in small-to-medium teams and often takes the lead in turning cross-functional ideas into production-grade systems. An operator at heart, he balances technical depth with commercial sensibility to drive measurable AI adoption.
10 years of coding experience
2 years of employment as a software developer
Ingegneria informatica, Ingegneria informatica at Universidad de GranadaMaster of Science - MS Computer Engineering - Data Science, Master of Science - MS Computer Engineering - Data Science at Politecnico di TorinoBachelor's degree Computer and Automation Engineering, Bachelor's degree Computer and Automation Engineering at Politecnico di BariMaster of Science - MS Computer Enginnering - Data Science, Master of Science - MS Computer Enginnering - Data Science at Télécom ParisMaturità Scientifica, Maturità Scientifica at Liceo Scientifico G. Salvemini
Italian, English, Spanish, French
Stackoverflow
56reputation
844reached
2answers
0questions
Github Skills (13)
data-preprocessing10
pandas10
xgboost10
machine-learning10
amazon-sagemaker10
aws10
python10
jupyter-notebook9
scikit8
scikit-learn8
pytorch6
docker6
amazon-web-services6
Programming languages (5)
Github contributions (5)
aws-samples/amazon-sagemaker-immersion-day
Jun 2021 - Sep 2021
Role in this project:
ML Engineer & Data Scientist
ML Engineer & Data ScientistContributions:5 commits, 1 PR in 3 months
Contributions summary:Davide's primary contribution involved developing and adding notebooks for SageMaker Processing and Batch Transform. These notebooks focus on a direct marketing problem and utilize the XGBoost algorithm, showcasing skills in model building, data preprocessing, and batch transformation within the SageMaker environment. The changes demonstrate an understanding of data analysis, machine learning model training, and deployment within AWS.
UGR2015IT/EC-Estructura-de-Computadores
Nov 2015 - Mar 2016
Contributions:40 commits, 38 pushes, 1 branch in 3 months
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