Hi, I'm Marc'Antonio.

I'm

I build intelligent systems that create more natural and intuitive interactions between people and technology.

Marc'Antonio Lopez AI Engineer

About Me

Passionate AI engineer focused on Human-Computer Interaction and building intelligent systems

Photo of Marc'Antonio Lopez

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.

Work Experience

Professional experience in AI research and technical leadership

HR Member

Mu Nu Chapter of IEEE-Eta Kappa Nu

Turin, Italy

October 2024 - June 2025

Contribute to recruitment and member engagement activities for the electrical and computer engineering honor society at the university.

  • Member engagement and recruitment strategies
  • Organizing technical events and workshops
  • Promoting IEEE standards and professional development
Leadership IEEE

Research Trainee in Artificial Intelligence

University of Enna "Kore"

Enna, Italy

February 2024 - June 2024

Conducted research focused on dynamic gesture recognition using Recurrent Neural Networks (RNN) for human-computer interaction applications.

  • Investigated cutting-edge techniques for capturing and classifying human movement data
  • Analyzed time-series gesture data to identify patterns for model training
  • Developed real-time gesture recognition systems using Leap Motion sensor data
  • Contributed to the DYLEM-GRID dataset for gesture recognition research
AI Research Computer Vision HCI

Featured Projects

Explore my work in AI, machine learning, and human-computer interaction

GitHub

DYLEM-GRID

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.​

PyTorch LSTM Attention 2025
GitHub

Recurrent Neural Networks for Dynamic Gesture Recognition

Thesis project: Bidirectional RNN for complex dynamic gesture classification from time-series sensor data in real-time.

Keras RNN HCI 2024
GitHub

Telegram Face Detection

Real-time face detection bot with user-friendly GUI built using Flet, allowing remote detection and notification via Telegram.

OpenCV Flet Python 2024

Education & Skills

My expertise is built on a solid academic foundation and hands-on technical skills

Education

M.Sc. in Artificial Intelligence and Data Analytics

Polytechnic University of Turin, Turin, Italy

September 2024 - September 2026 (In Progress)

28.9/30

42% Credits

Advanced Coursework in Progress:

Advanced Machine Learning • Deep Natural Language Processing • Large Language Models • Robot Learning

B.Sc. in Computer Engineering

University of Enna "Kore", Enna, Italy

October 2021 - July 2024

Thesis:

"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

Scientific High School Diploma

2021

100/100

cum laude

Master's Degree Course Details

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 In progress
Large Language Models 6 In progress
Deep Natural Language Processing 8 In progress
Explainable and Trustworthy AI 6 In progress

Publications

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 →

Technical Skills

Programming Languages

Python Java C JavaScript Rust

AI & Machine Learning

Machine Learning Advanced Machine Learning Deep Learning Neural Networks Attention Reinforcement Learning Deep Natural Language Processing Data Science

Generative AI

Large Language Models GPT BERT Llama Qwen Transformers Hugging Face LangChain LangGraph Prompt Engineering Fine-Tuning PEFT LoRA Quantization RAG

ML Frameworks & Libraries

PyTorch Keras Scikit-learn NumPy Pandas Matplotlib

Databases & Big Data

MySQL SQLite ExtendedSQL PySpark Hadoop

Tools & Technologies

Git Docker

Certifications & Languages

IEEE Graduate Student Member

2025

Member of the world's largest professional association for the advancement of technology.

Professional

Cambridge English C1 Advanced

2024

Advanced proficiency in English language (Reading, Writing, Speaking, Listening) at CEFR Level C1.

Language

Language Proficiency

Italian Native Speaker
English Advanced (Cambridge C1)

Contact & Information

Personal details and professional contact information

Personal Information

Name: Marc'Antonio Lopez
Date of Birth: March 9, 2002
Place of Birth: Agrigento, Italy
Nationality: Italian
Availability: Available to travel and relocate
Driving License: Full driving license

Professional Contact

Professional Networks:

Get In Touch

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