Marco 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
5 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
Understanding emotions from audio files using neural networks and multiple datasets.
Contributions:135 commits, 31 PRs, 116 pushes in 1 year 11 months
songpythontensorflowunderstandingravdess-dataset
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