Andrea Giangrande

Open to opportunities

Master's Thesis Researcher

I build deep learning and computer vision models for real-world AI problems.

ItalyMaster's Thesis Researcher at SEL

About

At EssilorLuxottica's Smart Eyewear Lab and Politecnico di Milano, I developed an event-based eye-tracking user-adaptation pipeline for wearable devices. My work improved pupil-center localization by 44%, ellipse IoU by 14.3 percentage points, and Pye3D-based estimated gaze by 43% after adaptation. I've built and evaluated deep learning systems for blood-cell image classification and Mars-terrain semantic segmentation using PyTorch, TensorFlow, and Keras. I also developed robotics mapping and navigation with ROS, RViz, Docker, and gmapping. My software engineering background includes a multiplayer Java implementation of MyShelfie using RMI, sockets, MVC, UML, GUI, and CLI interfaces. I'm a recent Computer Science and Engineering graduate focused on artificial intelligence and computer vision.

Experience

Master's Thesis Researcher
Conducted master's thesis on user adaptation for event-based eye tracking on wearable devices. Designed research workflow, model training, data processing, and experimental evaluation, improving pupil-center localization by 44% and gaze estimation by 43%.
PyTorchLightningEvent Based VisionEye TrackingModel AdaptationResearchData ProcessingExperimental Design

Education

Politecnico di Milano
Pursuing a Master of Science in Computer Science and Engineering with a focus on Artificial Intelligence and computer vision. Relevant coursework includes Neural Networks and Deep Learning, Uncertainty in AI, and Networked Software for Distributed Systems.
Politecnico di Milano
Earned a Bachelor of Science in Computer Science and Engineering with relevant coursework in Software Engineering, Algorithms and Data Structures, and Databases. Final grade: 99/110.

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About

Experience

Master's Thesis Researcher

Conducted master's thesis on user adaptation for event-based eye tracking on wearable devices. Designed research workflow, model training, data processing, and experimental evaluation, improving pupil-center localization by 44% and gaze estimation by 43%.

PyTorchLightningEvent Based VisionEye TrackingModel AdaptationResearchData ProcessingExperimental Design

Education

Politecnico di Milano

Pursuing a Master of Science in Computer Science and Engineering with a focus on Artificial Intelligence and computer vision. Relevant coursework includes Neural Networks and Deep Learning, Uncertainty in AI, and Networked Software for Distributed Systems.

Politecnico di Milano

Earned a Bachelor of Science in Computer Science and Engineering with relevant coursework in Software Engineering, Algorithms and Data Structures, and Databases. Final grade: 99/110.

About

Experience

Master's Thesis Researcher

Education

Politecnico di Milano

Politecnico di Milano

About

Experience

Master's Thesis Researcher

Education

Politecnico di Milano

Politecnico di Milano

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