Open to opportunities

Andrea Giangrande

@andreagiangrande

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

Italy

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What I'm looking for

I'm looking to apply my hands-on experience in deep learning, computer vision, robotics, and software engineering to real-world AI products and research.

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

Work history, roles, and key accomplishments

Master's Thesis Researcher

SEL - Smart Eyewear Lab, EssilorLuxottica and Politecnico di

Sep 2025 - Jul 2026 (10 months)

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%.

PyTorch Lightning Event Based Vision Eye Tracking Model Adaptation Research Data Processing Experimental Design

Education

Degrees, certifications, and relevant coursework

Politecnico di Milano

Master of Science, Computer Science and Engineering

2023 -

Grade: 109/110

Activities and societies: Thesis: User Adaptation for Event-based Eye Tracking on wearable devices; Assessment: 7/7

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

Bachelor of Science, Computer Science and Engineering

2020 - 2023

Grade: 99/110

Activities and societies: Average final-project assessment: 5.88/6

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.