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Eugenio Carpentieri

@eugeniocarpentieri

Machine Learning Engineer at Capgemini building a serverless AWS platform that verifies sales commissions and analyzes anomalies with LLMs.

Italy
Message

At Capgemini, I’m building and running a serverless AWS platform that computes and verifies sales-network commissions across multiple channels. It uses LLMs for payout anomaly analysis, and I designed and evaluated its end-to-end architecture to meet the client’s cybersecurity requirements.

At Reply S.p.A., I designed, built, and deployed GenAI solutions, including production LLM systems that generate functional analysis documents and RAG pipelines using OpenSearch. I also customized Docling for document intelligence and taught internal sessions on multi-agent systems.

Experience

Work history, roles, and key accomplishments

CA
Current

Machine Learning Engineer

Jan 2026 - Present (9 months)

Building and running in production a serverless platform for computing and verifying sales-network commissions, with LLMs for anomaly analysis. Designed end-to-end architecture, orchestrated pipelines with Step Functions, and automated root cause analysis using Amazon Bedrock.

Reply S.p.A. logoRS

AI Engineer

Jan 2024 - Dec 2025 (1 year 11 months)

Designed, built, and deployed GenAI solutions to production, including RAG pipelines, document intelligence, and LLM systems for requirements engineering. Coordinated junior colleagues, prepared progress reports, and taught internal training sessions on multi-agent systems.

KS

Curricular Internship

KnowMIS Lab, Salerno

Jun 2021 - Aug 2021 (2 months)

Designed and developed a database to manage employee skills for a software house.

Education

Degrees, certifications, and relevant coursework

US

University of Salerno

Master of Science, Computer Engineering

2021 - 2023

Grade: 110/110

MSc in Computer Engineering with a focus on Artificial Intelligence and Computer Vision. Thesis on autonomous driving comparing transformer-based object tracking and tracking-by-detection approaches.

US

University of Salerno

Bachelor of Science, Computer Engineering

2018 - 2021

Grade: 110/110 cum laude

BSc in Computer Engineering, graduated with honors (110/110 cum laude).

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