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esthy13/README.md

Hi there, I'm Esther Giuliano 👋

GitHub followers LinkedIn

I'm an MSc student in Artificial Intelligence at the University of Bologna, interested in turning research ideas into evaluated prototypes and working software. My interests include applied machine learning, computer vision, responsible AI, and the engineering of intelligent systems.

Outside technology, I am a violinist 🎻. Music has taught me to combine individual preparation and precision with attentive listening and the coordination needed to create something meaningful as a group


📚 Currently Studying

3D Person Detection and Tracking Using Monocular Vision and Depth Generation Models

Evaluating monocular depth-generation models for 3D person detection and tracking against stereo-camera and LiDAR measurements. → View the project repository

Ethics in Artificial Intelligence

Exploring the ethical, social, and legal implications of AI, including bias, responsibility, transparency, and human oversight.

Cognition and Neuroscience

Studying how neural mechanisms support perception, learning, memory, and decision-making, and how neuroscience can inform artificial intelligence.


🛠️ Languages and Technologies

Area Technologies
Programming Languages Python Java Kotlin Prolog JavaScript TypeScript HTML5 CSS3 SQL LaTeX
AI, ML and Data Science PyTorch Keras scikit-learn OpenCV Hugging Face Ultralytics YOLO Pandas NumPy SciPy Matplotlib Seaborn NLTK Gensim
Web and Mobile React Redux Django Django REST Framework NestJS Swagger Bootstrap Android Firebase Room JavaFX
Databases and Semantic Web PostgreSQL MySQL MariaDB MongoDB SQLite RDF SPARQL RDFLib
AI Systems and Optimization AgentScope MiniZinc
Development Tools Git Docker Jupyter Google Colab Gradle Maven

🌍 Spoken Languages

English: B2/C1 · French: B2/C1 · German: B2

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  1. Arsenic-Detection Arsenic-Detection Public

    🚰 Machine-learning pipeline for arsenic contamination detection in water distribution networks. Combines PyTorch neural networks, EPANET-MSX simulations, residual-based event detection and GRASP se…

    Jupyter Notebook

  2. cil-intrusion-detection cil-intrusion-detection Public

    Cybersecurity project implementing an adaptive Intrusion Detection System using Class-Incremental Learning in PyTorch, comparing continual learning strategies (iCaRL, ER, DER) on network intrusion …

    Jupyter Notebook 1

  3. Sport-Tournament-Problem Sport-Tournament-Problem Public

    Forked from Jeanritah/CDMO-project-

    Combinatorial optimization project solving the Single Round Robin tournament scheduling problem using CP, SAT, SMT, and MIP models, with experiments on symmetry breaking and home–away balance optim…

    Python

  4. memuk memuk Public

    ♪ This project proposes a workflow for the semantic integration of melodic datasets and an automated validation procedure using the music21 Python library. It also demonstrates the creation of the …

    Jupyter Notebook

  5. GreenFit GreenFit Public

    Native Android fitness and sustainable-mobility tracker built with Kotlin. It combines activity recognition, step counting, manual activity logging, goal tracking, Room persistence, Firebase Authen…

    Kotlin

  6. story-teller-sweng story-teller-sweng Public

    Full-stack interactive storytelling platform built with React, Django REST Framework and PostgreSQL. Create and publish branching YAML stories with choices, riddles, inventories, multiple endings a…

    JavaScript