Experience

Motion Capture AI R&D Engineer

GPEM srl Genova, Italy 11/2023 - Present

Conducting AI/ML research to refine motion capture data cleanup using gold standard mocap technologies.
Developing advanced algorithms for enhanced data accuracy and reliability.
Proactively identifying new VFX market opportunities and contributing to brand growth.
Assisted motion capture services across Europe.

Tech Stack: Python, C#, Unity, Unreal, Shogun, Nexus, Xsens

Machine Learning R&D Engineer Intern

Framestore London, UK 07/2023 - 08/2023

Implemented a paper by Meta, designed and trained Encoder Decoder architecture to reduce artists' waiting time from 2 hours to 2 seconds per frame.
Integrated the solution into production.
Conducted personal research on motion capture (Mocap) technologies, identifying bottlenecks and proposing AI/ML solutions.

Tech Stack: Python, Nuke, Maya

3D Computer Vision Engineer

Movyon Florence, Italy 04/2023 - 06/2023

Collaborated in the implementation of AI and IoT solutions for monitoring bridges and galleries within the Argo3d team.
Utilized WebGL and Three.js expertise to create interactive visualizations for spatial data. Led presentations on WebGL.
Supervised Angular projects.

Tech Stack: WebGL, Three.js, Angular, PyTorch, Cesium

Software Engineer - Erasmus+

UX3D GmbH Munich, Germany 10/2021 - 06/2022

Conducted research and development for the Master Thesis: A 3D object detection system for Augmented Reality applications.
Working student: extended and maintained Gestaltor, a glTF 3D assets visualizer and editing software, while also contributing to documentation writing, updating, testing, and debugging processes.

Tech Stack: C++, Three.js, WebGL, Google Mediapipe, Unity, Gestaltor, Blender

Undergraduate Internship

University of Hawaii Honolulu, Hawaii, USA 04/2023 - 06/2023

At the Physics and Astronomy Department: participated in the design, programming, and assembly of a cosmic particle detector utilizing a Raspberry Pi for outreach purposes.
Conducted research, procured materials, provided cost estimates, and compiled material lists, including testing in challenging environments and with dedicated radioactive sources.

Tech Stack: Raspberry Pi, Python, OpenCV

Education

Master of Science in Artificial Intelligence and Data Engineering

Università di Pisa 2019 - 2022 GPA: 3.9/4.00

Computer Vision, Machine Learning, Computer Intelligence, Cloud Computing

Thesis: A 3D Object Detection System for Augmented Reality applications

Bachelor of Science in Computer Engineering

Università di Pisa 2013 - 2019 GPA: 3.3/4.00

Thesis: Integration of the LWM2M standard in the Home Assistant Hub

Technical Skills

Languages Python, C++, C#, Java
Machine Learning & Computer Vision PyTorch, TensorFlow, Keras, Jupyter, Weka
Web Technologies JavaScript, HTML5, CSS, Three.js, WebGL
Cloud & DevOps Hadoop, Spark, Docker, OpenStack
Databases MySQL, MongoDB, Neo4J
Software & Tools Unity, Unreal, Vicon Shogun, Nexus, Nuke, Gestaltor, Blender, Inkscape, Photoshop, Openshot
Methodologies Agile, Scrum

Languages

English Professional proficiency
Italian Native proficiency
French Beginner A1
German Beginner A1