I am a passionate AI and Machine Learning researcher and developer, currently pursuing my Master's degree in Artificial Intelligence at Sapienza University of Rome. Where I’m working on advancing the field of AI through innovative projects and research.
- Programming Languages: Python, C++, Matlab
- AI/ML Frameworks: TensorFlow, PyTorch, Keras
- AI Planning Tools: PDDL
- Tools: Git, Docker, Jupyter, Google Cloud, AWS
- Data Science: Pandas, NumPy, SciPy, Scikit-Learn, Matplotlib
- Operating Systems: Linux, Windows
- Waste Collection Optimization: Developed a system for optimizing waste collection routes using PDDL classical planning, minimizing operational costs and environmental impact.
- Wasserstein CycleGAN: Enhanced the CycleGAN model by integrating the Wasserstein distance to improve image-to-image translation tasks.
- Anomaly Detection on FashionMNIST: Implemented advanced machine learning techniques to identify and classify anomalous data points in the FashionMNIST dataset.
- Coarse-Grained Word Sense Disambiguation: Developed a system to accurately determine the sense of a word in context using machine learning techniques.
- Event Detection: Built an event detection system using NLP techniques to identify and categorize significant events in real-time.
- Google Cloud: Cloud Seekho Season 3 & 2
- Udacity: Programming for Data Science with Python, Deep Learning Nanodegree
- Cisco: Programming Essentials in Python
- Coursera: AI for Everyone
