An engineering perspective on applied AI.
I have a background in Computer Engineering and professional experience in enterprise and R&D environments. My work has involved machine learning and generative AI, with experience across retrieval, computer vision, model evaluation and deployment.
AI Genius brings together my independent technical writing, personal experiments and structured learning. Professional experience is described at a high level; the site does not share confidential projects or proprietary implementations. My ongoing interests include software architecture, LLM systems and the retrieval and ranking foundations of recommendation systems.
Professional background
Experience across enterprise AI and R&D
Machine Learning Engineer
NTT DATA Italia S.p.A.
Started June 2025
Experience in Advanced Technologies & Innovation, focused on applied machine learning and generative AI in enterprise environments.
Machine Learning Engineer
Youbiquo · R&D Department
October 2024 - May 2025
Research and development experience across generative AI, retrieval and computer vision, with an emphasis on model evaluation and practical implementation.
AI Researcher Intern
A.I. Tech · University of Salerno
May 2024 - October 2024
Applied AI research focused on computer vision, model optimization and data preparation for real-time applications.
Education
Computer Engineering
M.Sc. in Computer Engineering
University of Salerno
2022 - 2024 · 110/110 cum laude · GPA 3.95/4.0
Advanced study in artificial intelligence, machine learning, computer vision and software systems.
B.Sc. in Computer Engineering
University of Salerno
2018 - 2022 · 110/110 cum laude · GPA 3.75/4.0
Core studies in programming, algorithms, computer systems and software engineering.
Credentials and recognition
Certifications and academic recognition
Professional Machine Learning Engineer
Google Cloud
March 2026 - March 2028
Professional certification in designing and operating machine learning systems on Google Cloud. Verify on Credly.
Top Performer · First Ascent
Bending Spoons
January 2026
Recognition for performance in the First Ascent selection process.
PhD Programme Admission in Artificial Intelligence
University of Salerno
September 2024
Admitted to the AI PhD programme before choosing to pursue industrial machine learning work.
ESOL Certificate · C1
British Institute
June 2022
Advanced English proficiency certification.
Areas of experience
Technical background
Experience across applied AI and the software tools that support it.
Machine Learning
Model development and evaluation with Python, PyTorch, scikit-learn and related tools.
Generative AI
LLM applications, orchestration and evaluation.
RAG & Retrieval
Embeddings, semantic search, vector databases and retrieval-augmented generation.
Computer Vision
Visual recognition, model optimization and inference workflows.
Cloud & Deployment
Google Cloud, Azure, Docker, MLflow and model deployment workflows.
Software Engineering
Python, SQL, Bash, FastAPI, Git and CI/CD.
Independent learning
Software engineering for AI systems.
I continue to deepen my understanding of algorithms, testing, software architecture and distributed systems. I also explore retrieval, ranking and recommendation systems through independent study. The Learning Lab and Engineering Notes document this ongoing work.
Explore Learning Lab