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Hi, I'm Antonio Mastroianni, an aspiring AI engineer with a solid academic background in data science. I have hands-on experience working with deep learning, intelligent agents, and scalable data workflows. I am passionate about building AI systems that can reason, act, and adapt to real-world complexities. I enjoy leveraging the latest AI technologies, like Vision Transformers and GPT-based models, to improve data analytics and drive data-driven decision making. I thrive in collaborative environments where I can contribute to impactful AI projects that solve real-world problems.…Hi, I'm Antonio Mastroianni, an aspiring AI engineer with a solid academic background in data science. I have hands-on experience working with deep learning, intelligent agents, and scalable data workflows. I am passionate about building AI systems that can reason, act, and adapt to real-world complexities. I enjoy leveraging the latest AI technologies, like Vision Transformers and GPT-based models, to improve data analytics and drive data-driven decision making. I thrive in collaborative environments where I can contribute to impactful AI projects that solve real-world problems.

Antonio Mastroianni

AI Engineer, Data Scientist, Developer, +2

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Hi, I'm Antonio Mastroianni, an aspiring AI engineer with a solid academic background in data science. I have hands-on experience working with deep learning, intelligent agents, and scalable data workflows. I am passionate about building AI systems that can reason, act, and adapt to real-world complexities. I enjoy leveraging the latest AI technologies, like Vision Transformers and GPT-based models, to improve data analytics and drive data-driven decision making. I thrive in collaborative environments where I can contribute to impactful AI projects that solve real-world problems.…Hi, I'm Antonio Mastroianni, an aspiring AI engineer with a solid academic background in data science. I have hands-on experience working with deep learning, intelligent agents, and scalable data workflows. I am passionate about building AI systems that can reason, act, and adapt to real-world complexities. I enjoy leveraging the latest AI technologies, like Vision Transformers and GPT-based models, to improve data analytics and drive data-driven decision making. I thrive in collaborative environments where I can contribute to impactful AI projects that solve real-world problems.

Available to hire

Hi, I’m Antonio Mastroianni, an aspiring AI engineer with a solid academic background in data science. I have hands-on experience working with deep learning, intelligent agents, and scalable data workflows. I am passionate about building AI systems that can reason, act, and adapt to real-world complexities.

I enjoy leveraging the latest AI technologies, like Vision Transformers and GPT-based models, to improve data analytics and drive data-driven decision making. I thrive in collaborative environments where I can contribute to impactful AI projects that solve real-world problems.

Skills

Experience Level

Python

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Language

Italian

Fluent

English

Advanced

Work Experience

Data Science Intern at Generali Real Estate SpA

November 30, 2024 - July 23, 2025

Developed an AI-assisted urban classification pipeline combining GPT-4o-based label validation and Vision Transformers to reclassify over 7,000 Milan census areas from satellite imagery, enhancing land-use data accuracy by 12% for real estate analytics. Designed and implemented Python-based DSL pipelines to standardize integration of heterogeneous data sources, reducing manual processing time by 90% and improving data reliability. Conducted geospatial analysis across urban Milan areas, enabling data-driven investment targeting and risk scoring to support investment team decision-making.

Internship - Machine Learning - Anomaly Detection at Telecom Italia SpA

March 31, 2022 - July 23, 2025

Developed and implemented a spatio-temporal anomaly detection pipeline for KPI data, analyzing 12 months of cellular network logs across 600+ spatial grid cells in Milan. Improved anomaly detection accuracy by integrating localized traffic pattern profiling outperforming traditional global models. Applied time series decomposition and Fourier analysis to model and forecast user traffic trends, seasonality, and residual noise, increasing network behavior interpretability.