I build intelligent systems that create more natural and intuitive interactions between people and technology.
Passionate AI engineer focused on Human-Computer Interaction and building intelligent systems
I'm a Computer Engineer specializing in Generative AI and Large Language Models, with a solid foundation in Artificial Intelligence, Machine Learning and Data Analytics. I'm currently pursuing my Master's degree in AI & Data Analytics at the Polytechnic University of Turin.
My expertise includes proficiency in Python and practical experience with Machine Learning frameworks including PyTorch, Keras, and Scikit-learn. I specialize in fine-tuning transformer models and developing agentic AI solutions using tools like LangChain and LangGraph. I'm completing advanced coursework in Deep Natural Language Processing and Large Language Models.
With my Bachelor's thesis "Recurrent Neural Networks for Dynamic Gesture Recognition" I aimed to catalyse innovation in dynamic gesture recognition, fostering more intuitive and effective HCI systems.
Professional experience in AI research and technical leadership
Turin, Italy • Hybrid
March 2026 - Present
Focusing on the intersection of Generative AI and Data Engineering. My research involves leveraging Foundation Models and Serverless architectures to automate Metadata Management and Semantic Discovery.
Turin, Italy
October 2024 - June 2025
Contribute to recruitment and member engagement activities for the electrical and computer engineering honor society at the university.
Enna, Italy
February 2024 - June 2024
Conducted research focused on dynamic gesture recognition using Recurrent Neural Networks (RNN) for human-computer interaction applications.
Explore my work in AI, machine learning, and human-computer interaction
Developed a Self-Corrective RAG (Self-CRAG) system using LangGraph to handle hallucinations in multi-turn dialogues. Optimized Llama 3.1 8B via 4-bit quantization and engineered a hybrid retrieval pipeline with Parent-Child chunking and Cross-Encoder reranking.
Framework for controllable abstractive summarization using semantic supervision. Built a multilingual pipeline (IT/EN) with Llama and Qwen, integrating token classification to mitigate hallucinations. Deployed specialized LoRA adapters on Hugging Face.
DYLEM-GRID is a deep learning project for dynamic hand gesture recognition using Bidirectional LSTM networks with Attention and encoder-only Transformer models. The repository implements models trained on the DYLEM-GRID dataset (Dynamic Leap Motion Gesture Recognition Indexed Dataset), which contains 400 recordings of four distinct dynamic hand gestures.
Thesis project: Bidirectional RNN for complex dynamic gesture classification from time-series sensor data in real-time.
Real-time face detection bot with user-friendly GUI built using Flet, allowing remote detection and notification via Telegram.
My expertise is built on a solid academic foundation and hands-on technical skills
Polytechnic University of Turin, Turin, Italy
September 2024 - September 2026 (In Progress)
28.2/30
70% Credits
"Generative AI and Foundation Models for Automated Data Engineering and
Metadata Orchestration"
Research at DATA Reply focused on leveraging Foundation Models
and Serverless architectures to automate Metadata Management and Semantic
Discovery.
University of Enna "Kore", Enna, Italy
October 2021 - July 2024
"Recurrent Neural Networks for Dynamic Gesture Recognition"
Focused on applying RNNs to interpret and classify human movements in
real-time for healthcare and entertainment applications.
110/110
cum laude
2021
100/100
cum laude
| Course | Credits | Final Grade |
|---|---|---|
| Data Science and Database Technology | 8 | 30 cum laude |
| Computer Architectures | 10 | 30 |
| Web Applications I | 6 | 30 |
| Software Engineering | 8 | 29 |
| System and Device Programming | 10 | In progress |
| Computer Network Technologies and Services | 6 | 28 |
| Big Data Processing and Analytics | 6 | 28 |
| Machine Learning and Pattern Recognition | 6 | 26 |
| Advanced Machine Learning | 6 | In progress |
| Robot Learning | 6 | 28 |
| Large Language Models | 6 | 27 |
| Deep Natural Language Processing | 8 | 25 |
| Explainable and Trustworthy AI | 6 | In progress |
Home Automation System
Authors: Marc'Antonio Lopez, Filippo Simone Iannello, Vito Cammarata
Type: Research Publication | Date: April 2024 | Journal: SUAI Bulletin of the UNESCO Chair "Distance Education in Engineering", pp. 154-163
Integration of sensors (temperature, humidity, smoke, motion) in a smart home system using Matlab/Simulink/Truetime with Zigbee wireless networks and Ethernet connectivity.
View Publication →2025
Member of the world's largest professional association for the advancement of technology.
2024
Advanced proficiency in English language (Reading, Writing, Speaking, Listening) at CEFR Level C1.
Personal details and professional contact information
I'm always open to new challenges and collaborations. Feel free to reach out to discuss projects, opportunities, or just to say hello.
Send me an email