Filippo Maria Libardi

MSc Artificial Intelligence • Utrecht University
Engineering solutions the world is missing

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I'm an AI researcher and software engineer specializing in computer vision, deep learning, and graphics programming.

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Current Roles

Co-founder driving AI products in health-tech

Pecus Chain

CTO

AI-powered dairy health platform predicting mastitis risk and optimizing herd productivity through unified farm data.

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Featured Projects

A selection of academic research and engineering work

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PyTorch OpenCV Computer Vision

NrPPG-NNET

Master's thesis project: Deep learning approach for contactless heart rate monitoring via facial video analysis. End-to-end neural network for remote photoplethysmography.

GitHub Publication

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Python dlib Face Recognition

FaceManager

Real-time face detection and tracking system for identity management. Implements state-of-the-art face recognition algorithms with efficient processing pipeline.

GitHub

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Python Machine Learning Information Retrieval

Multimedia Retrieval System

Content-based multimedia search engine using feature extraction and similarity metrics. Implements advanced indexing and query optimization techniques.

GitHub

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Unity C# Game AI

Hunting Game - AI Behaviors

3D hunting simulation demonstrating AI steering behaviors including seek, wander, evade, and leader-based flocking. Finite state machine implementation with coroutine-based state management.

GitHub Demo

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DirectX 11 C++ Game Engine

Zombie Holocaust

Custom 3D game engine built from scratch using DirectX 11. Features include frame-based animation system, FMOD audio integration, collision detection, and dynamic difficulty scaling.

GitHub Trailer

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Hackathon Rapid Development Team Project

Bremen Hackathon 2019

48-hour collaborative software challenge building sign language recognition from video, with rapid prototyping and agile development under tight time constraints.

GitHub

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Academic Publications

Research contributions in AI, computer vision, and ethical computing

2021 Master's Thesis

NrPPG-NNET: An End to End Deep Learning Approach to Remote Heart Rate Estimation Through Spatial Temporal Representation

Filippo Maria Libardi

Utrecht University, November 2021

Deep learning approach to remote heart rate estimation using spatial-temporal representations. Novel methodology for contactless cardiovascular monitoring through computer vision, eliminating the need for traditional touch sensors.

ResearchGate PDF Code

2021 Research Paper

Visualising Language Bias Over Time Using Reddit Comment Data

Otto Mättas, Filippo Maria Libardi

Tallinn University of Technology, February 2021

Novel approach to language bias visualization through temporal analysis of large-scale Reddit datasets. Introduces methodology for collecting and analyzing bias scores from text corpora using word embeddings.

ResearchGate PDF

2020 Research Paper

The Rise of Decentralised Systems

Filippo Maria Libardi

April 2020

Examines decentralized systems as solutions to privacy policy challenges. Presents ethical dilemmas in modern computing and proposes decentralized architectures as ethically supportive alternatives.

ResearchGate PDF

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