Telecommunications Engineering

2024

La Sapienza - Rome, Italy

Relevant coursework:
Multi-variables calculus, Geometry and Linear algebra, Physics, Computer Science, Electromagnetic fields. Graphs theory, Mathematical methods for information engineering. Signals and data transmission, Internet and Networking, GPS and radar localization.

Thesis: "Edge Learning in 6G Networks: The Impact of Split Learning on Edge Computing"

Cloud Certifications

2024

Google Cloud Certified - Professional Cloud Architect

2023

Google Cloud Certified - Professional Cloud Machine Learning Engineer

Coursera & DeepLearning.ai

2020-2022

Relevant coursework:

Deep Learning Specialization Neural Networks, hyperparameters tuning and optimization, CNNs, Sequence models.

MLOps: Data pipelines, modelling workflows and data drifts, deployment and monitoring in production environments.

Tensorflow, advanced techniques: custom models, multi-task models, advanced computer vision, generative deep learning.

Machine Learning Engineer

2022 - present

NTT DATA Italia S.p.A, Rome, Italy

• Architected and implemented a Google Cloud-based video processing pipeline, leveraging computer vision and audio analysis to distill petabytes of sports event footage. Developed algorithms to identify and extract the most relevant scenes based on sport-specific criteria, achieving 40-70% storage reduction and resulting in millions of dollars in cost savings.
• Developed advanced computer vision and deep learning algorithms for real-time crowd analysis, integrating age and gender estimation with crowd density assessment. Showcased the technology at the International Broadcasting Convention (IBC), demonstrating its potential for improving surveillance capabilities and providing data-driven insights for crowd management strategies.
• Designed and integrated custom computer vision algorithms for a quadruped robot, optimizing for its specific hardware constraints. Implemented real-time object detection, maintenance panel monitoring, and anomaly detection capabilities, expanding the robot's potential for autonomous inspection and predictive maintenance in industrial settings.

Machine Learning Engineer

2021 - 2022

IPS Intelligence S.p.A, Aprilia, Italy

• Engineered a high-accuracy facial recognition and analysis system capable of discerning ethnicity, age, and gender. Leveraged deep learning models and optimized neural network architectures to achieve robust performance across diverse datasets.
• Developed and optimized a SAR (Synthetic Aperture Radar) image processing pipeline for maritime intelligence. Implemented advanced machine learning algorithms for vessel tracking and anomaly detection, significantly improving operational situational awareness. The system boosted maritime security by enabling real-time monitoring of vast ocean areas, facilitating rapid identification of potential threats and unusual vessel behaviors.

Computer Vision Developer

2021

C.Ser.Mac AI laboratory, Latina, Italy

• Developed an artificial vision system for enhanced security monitoring. Utilized state-of-the-art object detection and tracking algorithms to identify and monitor people, animals, and vehicles in real-time. Integrated Optical Character Recognition (OCR) capabilities for license plate reading.
• Developed a Deep Learning-based vision system for automated quality control in small fruit production and sorting. Developed custom neural network architectures for precise detection, tracking, and quality assessment of fruits.