Marco De Pinto
Senior Product Manager at Amazon
Molfetta, Apulia, Italy
Summary
👤
Senior🎓
Top SchoolMarco De Pinto is a Senior Program Manager with 10 years of experience designing and delivering large-scale automation and labor management solutions across Amazon's global logistics network. He combines hands-on software development (TypeScript, Python, AWS CDK/Lambda) with program leadership, having driven a $25M roadmap and validated €/$17.9M in cost savings through operational automation. As the global SME for labor systems across 700+ delivery stations, he blends technical product vision, vendor negotiation, and rollout execution for distributed async-first teams. Unusually for a PM, he prototypes and deploys working software to validate concepts on the shop floor before handing off to engineering and runs a custom AI-powered productivity system that unifies his PM and development workflows. His background in data science, generative AI studies, and published research in DNN/NLP informs a data-driven approach to operational problems and prototype-driven decision making.
10 years of coding experience
7 years of employment as a software developer
Short Master’s Degree Generative AI, Short Master’s Degree Generative AI at Università degli Studi di Bari
Italian, English
Stackoverflow
605reputation
99kreached
9answers
38questions
Github Skills (56)
keras-tensorflow10
api-rest10
keras-models10
artificial-intelligence10
python10
artificial-neural-networks10
django-framework10
django10
audio-files10
machine-learning10
audio-processing10
emotion10
audio10
keras10
deep-learning10
Programming languages (4)
Github contributions (5)
marcogdepinto/emotion-classification-from-audio-files
Dec 2018 - Nov 2020
Understanding emotions from audio files using neural networks and multiple datasets.
Contributions:135 commits, 31 PRs, 116 pushes in 1 year 11 months
audio-filesneural-networkdeep-learningdeep-neural-networksmachine-learning
marcogdepinto/ScenarioClassifier
Jun 2019 - Sep 2019
Classifying different scenarios (city, desert, mountain, nature, sea, universe). Project built using Python: Keras (with Tensorflow backend), numpy, scikit-learn.
Contributions:13 commits, 12 pushes, 1 branch in 3 months
backendkerasnumpypythonscikit-learn
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