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gvnberaldi/README.md

Hi there, I'm Giovanni👋

🎓 Educational Background

I hold a Bachelor’s degree in Computer Science and a Master’s degree in Artificial Intelligence and Computer Science, both achieved with the highest honors.

🛠️ Skills and Interests

With a strong foundation in AI and computer science, I excel in designing performant algorithms and systems.
I am particularly passionate about:

  • Deep learning applied to computer vision.
  • Symbolic AI and its integration with modern AI systems.

🚀 Career Goals

I’m actively seeking job opportunities in the field of AI to apply my expertise and contribute to advancements in this exciting domain.

📂 Projects & Repositories

Artificial Intelligence

Deep Learning and Computer Vision

  • BrainyBot: A robot capable of playing video games using an AI-based vision and reasoning module.
  • Pose2Action: An AI system designed to recognize and classify human actions using 3D human pose estimation and a Relational Graph Convolutional Network. Implemented using PyTorch and PyTorch Geometric.
  • EssayAuthorshipDetector: A deep learning model developed to accurately identify whether an essay was written by a student or an LLM (Kaggle competition). Implemented using TensorFlow.
  • ImageClassifier: Implementation of different deep learning models for classifying images. Implemented using PyTorch.
  • ImageSemanticSegmentation: Implementation of different deep learning models for semantic segmentation of images. Implemented using PyTorch.
  • MotionDetection: Comparative analysis of deep learning algorithms for motion detection against traditional approaches.

Machine Learning

  • HousePricePrediction: Different machine learning models developed to predict house prices. (Kaggle competition).

Search

Algorithmic Game Theory

  • GameTheoryOptimizer: Efficient algorithms for solving graph-based game theory problems, including Shapley Value, Nash Equilibria, and Mechanism Design.

DevOps

  • SyslogManager: A log file management system developed using Agile methodologies and Jira. Implemented using Python.

Parallel Computing

📜 Publications

📫 Contact

Pinned Loading

  1. DeMaCS-UNICAL/BrainyBot DeMaCS-UNICAL/BrainyBot Public

    Repository for Automated Tapping Robot applications

    Python 7 1

  2. Pose2Action Pose2Action Public

    This repository contains the implementation of a system for Human Action Recognition (HAR) using depth map data. The system is designed to assist individuals with dementia in bathroom settings by r…

    Python

  3. EssayAuthorshipDetector EssayAuthorshipDetector Public

    EssayAuthorshipDetector is a deep learning model built using TensorFlow to accurately classify whether an essay was written by a student or generated by a large language model (LLM). This project w…

    Jupyter Notebook

  4. ImageClassifier ImageClassifier Public

    Implementation of different deep learning models for image classification.

    Python

  5. ImageSemanticSegmentation ImageSemanticSegmentation Public

    This repository implements and compares deep learning models for semantic segmentation using the Oxford-IIIT Pet and Cityscapes datasets.

    Python

  6. HousePricePrediction HousePricePrediction Public

    This repository contains implementations of different machine learning models to predict house prices.

    Jupyter Notebook