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Lorenzo Barraco

@lorenzobarraco

Message

Senior AI/ML Engineer and Data Scientist driving production-grade ML solutions.

Italy

Message

What I'm looking for

I seek a senior AI/ML role building production-grade GenAI and ML systems, emphasizing MLOps, scalable infrastructure, and measurable business impact in collaborative, enterprise-focused teams.

I am a Senior AI/ML Engineer and Data Scientist with over nine years delivering production-grade machine learning, predictive modeling, and data pipeline engineering for enterprise clients and scale-ups. I combine classical data science, MLOps, and modern Generative AI to build scalable systems, having reduced deployment cycles from weeks to hours and cut operational costs through analytics and optimization.

I have architected large-scale RAG pipelines, real-time analytics dashboards, and backend microservices supporting millions of automation requests, and led engagements with Fortune 500 clients to translate business requirements into data-driven AI solutions. I prioritize robust experiment tracking, cost-effective LLM operations, and cross-functional collaboration while mentoring teams and driving measurable business impact.

Experience

Work history, roles, and key accomplishments

Current

Senior AI Engineer

Current

Beam AI

Apr 2024 - Present (1 year 9 months)

Architected data pipelines and production AI systems for enterprise clients, cutting operational costs by 35% and reducing model deployment cycles from 3 weeks to 4 hours via MLOps automation.

RAG MLFlow GPT 4 fastAPI Anomaly Detection Embeddings MLOps

Senior AI Engineer

Computd

Feb 2022 - Apr 2024 (2 years 2 months)

Built large-scale NLP and recommendation systems, achieving 94% extraction accuracy on document understanding and driving $2M+ revenue via personalization improvements.

BERT LayoutLM Faiss AWS Onnx fastAPI MLOps

AI Engineer / Data Scientist

Allmatics

Feb 2018 - Jan 2022 (3 years 11 months)

Developed predictive analytics, NLP, and CV solutions that improved forecast accuracy by 32%, saved $800K in inventory costs, and reduced manual inspection time by 75%.

XGBoost LightGBM Spark BERT Docker Kubernetes Flask

ML Developer / Data Analyst

Byteal Ltd

Apr 2016 - Jan 2018 (1 year 9 months)

Produced ML and time-series forecasting models that improved planning accuracy by 40% and automated ETL pipelines ingesting 2M+ records daily with 99.7% data quality.

ARIMA Prophet Python SQL Pandas Tableau ETL

Education

Degrees, certifications, and relevant coursework

Sapienza University of Rome

Bachelor's Degree, Computer Science

2012 - 2016

Completed a Bachelor's degree in Computer Science with coursework and projects focused on algorithms, data structures, software engineering, and machine learning.