Experience
My professional journey and academic service activities.
Work Experience
Research Fellow
Research addresses the challenge of maintaining systemic coherence in heterogeneous mobile systems, investigating autonomic 'self-*' properties at the Edge and designing lightweight protocols.
Industry Training Instructor
Designed and delivered a corporate training program on Edge Analytics and Online Learning, focusing on TensorFlow Lite deployment and River for incremental learning.
Teaching Assistant
Assisted first-year students in learning the C programming language for the Computer Science Fundamentals Course.
Research Trainee
Developed a digital twin-based traffic monitoring system for real-time vehicle detection and environmental sensing.
Software Engineer
Full-Stack Developer. Developed web/desktop applications, gained expertise in Angular, optimized system performance with threading/parallelism in C#, and streamlined database operations using SQL bulk functions.
Education
PhD in ICT
Area: Information and Communication Technologies (ICT) Interested in intelligence at the IoT Edge: models and techniques for enabling smartness in IoT systems.
MSc Computer Eng. for the IoT
Major: Computer Engineering for the Internet of Things. Final score: 110/110 cum laude.
MSc Data Sci. & Network Intel.
Major: Data Science and Network Intelligence. GPA: 18,34/20.
BSc Computer Engineering
Final score: 105/110 cum laude. Honors Track.


