Available to hire
I am a Senior AI/ML Engineer and Data Scientist with over 9 years of experience delivering data-driven insights and advanced analytics solutions across enterprise environments. I specialize in predictive modeling, machine learning, statistical analysis, and data pipeline engineering, with expertise spanning from classical data science to modern Generative AI applications.
I have transformed business operations for Fortune 500 companies and scale-ups by turning data-driven decisions into action, combining deep analytical expertise with production-grade ML engineering and scalable backend development.
Experience Level
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Language
English
Fluent
Italian
Fluent
Work Experience
Senior AI Engineer at Beam AI
April 1, 2024 - PresentArchitected data pipelines handling 500 enterprise workflows monthly, deploying statistical monitoring and anomaly detection to identify inefficiencies and enable data-driven optimization. Analyzed large-scale datasets to uncover automation opportunities across finance, HR, and operations, delivering 35% cost reductions and 3x team productivity gains. Designed and implemented RAG pipelines with semantic search across 10K+ enterprise documents, achieving 92% accuracy through feature engineering and embedding optimization. Built real-time analytics dashboards tracking AI agent performance, guiding model improvements and achieving 88% automation success via A/B testing. Established MLOps infrastructure with Azure ML, MLflow, and Weights & Biases, reducing deployment cycles from 3 weeks to 4 hours. Engineered production-grade AI agents using GPT-4, Claude 3.5 Sonnet, and Gemini Pro with advanced prompt engineering. Integrated monitoring and caching strategies with Helicone and LangSmith, c
Senior AI Engineer at COMPUTD
February 1, 2022 - April 1, 2024Evaluated 500K+ business documents monthly to develop intelligent document understanding systems using BERT, RoBERTa, and LayoutLM, applying statistical NLP techniques and attaining 94% extraction accuracy for European enterprise clients. Conducted comprehensive data analysis across multi-language datasets supporting 4 languages, developing sentiment analysis and entity recognition pipelines with 91% accuracy exceeding benchmarks by 8%. Crafted and deployed recommendation engines through collaborative filtering and neural network modeling, improving client conversion rates by 28% and driving $2M+ in additional revenue through data-driven personalization. Built question-answering systems using BERT and Sentence-BERT with FAISS, enabling sub-second queries across 5M+ documents with 89% answer relevance score. Performed exploratory data analysis on customer interaction patterns, identifying key business metrics and creating executive dashboards that informed product strategy and boosted u
AI Engineer | Data Scientist at Allmatics
February 1, 2018 - January 1, 2022Created predictive analytics models using XGBoost, LightGBM, and Random Forests for demand forecasting, enhancing prediction accuracy by 32% and cutting inventory costs by $800K annually through sophisticated feature engineering and ensemble techniques. Analyzed large-scale datasets using Apache Spark, Pandas, and SQL on AWS EMR, handling 50TB+ data monthly and uncovering insights that drove $1.5M in cost savings. Conducted exploratory data analysis and hypothesis testing to identify key drivers of customer behavior, developing segmentation models that powered targeted marketing strategies and increased ROI by 45%. Engineered NLP solutions for text classification and named entity recognition using LSTM, GRU, and BERT models, handling 100K+ documents monthly with 87% F1-score. Delivered computer vision systems using CNNs with ResNet, EfficientNet, and YOLO, reaching 96% detection accuracy and decreasing manual inspection time by 75%. Executed ML Ops workflows using Docker, Jenkins, and
ML Developer | Data Analyst at Byteal Ltd
April 1, 2016 - January 1, 2018Generated machine learning models using Random Forests, Gradient Boosting, and Logistic Regression, attaining 84% prediction accuracy through rigorous feature selection and cross-validation techniques. Constructed time-series forecasting systems using ARIMA, Prophet, and ensemble methods for demand prediction, enhancing planning accuracy by 40% and lowering stockout incidents by 60% through statistical modeling. Launched ETL pipelines using Python, SQL, and Pandas, ingesting 2M+ records daily from multiple sources and ensuring 99.7% data quality through comprehensive validation and cleansing workflows. Produced data visualization dashboards using Matplotlib, Seaborn, and Tableau for 8+ enterprise clients, presenting actionable insights to C-level stakeholders through compelling data storytelling. Performed comprehensive statistical analysis including regression modeling, cohort analysis, and survival analysis to inform business strategy and increase operational efficiency by 25%. Strea
Education
Bachelor's Degree in Computer Science at Sapienza University of Rome
May 1, 2012 - March 1, 2016Bachelor's Degree in Computer Science at Sapienza University of Rome
May 1, 2012 - March 1, 2016Qualifications
Industry Experience
Financial Services, Professional Services, Software & Internet
Experience Level
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