I am a recent Computer Science graduate specialized in Data Science & AI at the University of Salerno. 🎓
I combine a researcher's mindset with practical engineering to build impactful AI systems, with a strong focus on Computer Vision and Deepfake Detection.
| Core AI & Data | Languages | Dev Tools & DB |
|---|---|---|
Domains: Computer Vision • NLP • Bioinformatics • Deepfake Detection • Social Network Analysis
My academic focus has been on Spatio-Temporal Deepfake Detection and Biometrics.
- Depthtective: A Depth-Aware Framework for Spatio-Temporal Deepfake Detection (Thesis Project).
- Publication:
- Co-author: "Lightweight Head Pose Estimation for Deepfake Detection" (Accepted at SAILS 2025).
Multi-modal framework linking protein sequences to 3D structures.
- Uses DNABERT-2 and GNNs with InfoNCE loss.
- Tech: PyTorch Geometric, Transformers, Contrastive Learning.
Benchmarking Reinforcement Learning agents in Atari Space Invaders.
- Compared efficiency of DQN, A3C, and Q-Learning.
- Tech: OpenAI Gym, TensorFlow, RL Algorithms.
Modeling multi-party dialogues as graphs for discourse parsing.
- Encodes EDUs with ModernBERT and propagates context via GNNs.
- Tech: PyTorch Geometric, HuggingFace Transformers.
Optimization of sentiment analysis on Bluesky social posts.
- Models: BERTweet, RoBERTa, BiRNN, Naive Bayes.
- Focus: Trade-off between accuracy and inference cost.