// MILAN, ITALY · SYS_v2.0 //

AEROSPACE ENTHUSIAST & Developer

Pushing boundaries through simulation & artificial intelligence

01 / ABOUT ME

WHO I AM

Merging the precision of aerospace engineering with the limitless potential of artificial intelligence. I design systems that don't just compute — they think, adapt, and evolve.

From GNC algorithms to neural networks, I architect solutions at the intersection of physical simulation and generative AI — pushing the envelope of what's technically possible.

PYTHON TENSORFLOW THREE.JS DJANGO MATLAB C++ CUDA WEBGL

0 PROJECTS COMPLETED

0 TECHNOLOGIES MASTERED

∞ POSSIBILITIES

03 / SELECTED WORKS

FEATURED PROJECTS

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Cubesat Control Lab

Cubesat Control Lab is a web application which deals with estimation and control alghorithms, including innovative paths.

Aerospace Project Python

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Astra GNC

The Astra GNC simulator allows testing and analysis of control algorithms for orbital missions. platform integrates accurate physics simulations for the shuttle scenario (Scenario 1) and provides development environment to experiment with manual and automatic control strategies.

Aerospace Project Python

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04 / CURRICULUM

CURRICULUM VITAE

Aerospace engineering student with a focus on GNC systems, trajectory optimization, and generative AI integration. Experienced in both simulation and real-time visualization.

Available for internships, research collaborations, and innovative aerospace/AI projects.

DOWNLOAD CV CONTACT ME

08 / CONTACT

LET'S BUILD
TOGETHER

Ready to push the boundaries of aerospace engineering and artificial intelligence together?

EMAIL LINKEDIN GITHUB CV