👋 Hi there! I'm Serena

✨ About Me – In a Nutshell

• 💻 Full Stack Developer at an AI software company
• ⚙️ Working on a production management platform using Django, Django REST Framework, and React
• 🤖 Integrating AI-related services using the Model Context Protocol (MCP)
• 🎓 BSc in Computer Science – University of Florence
• 🧠 Bachelor's thesis on deep learning, convolutional neural networks (CNNs), and computer vision
• 📚 I'm also self-studying topics such as Machine Learning, PLC programming, and Python for Artificial Intelligence
• ⚡ Fun fact: In my free time, I love getting lost in the pages of a good book, hiking through forests and mountain trails, traveling, and – of course – tasting everything local cuisine has to offer (purely for cultural reasons, of course 🍝). I also have a passion for hands-on projects: I enjoy building, dismantling, and bringing back to life anything that suddenly decides to stop working.

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💻 Tech Stack

Category	Technologies
Languages	Python   Java   C++   MATLAB
Backend	Django   MySQL
Frontend	React   Vue   Nuxt   Next.js   HTML   CSS
AI / ML	PyTorch   TensorFlow   OpenCV
DevOps	Docker   Linux
Tools	Git   VS Code   Eclipse

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📘 Some Courses I've Completed

Course Name	ECTS	Grade
Programming	12	30
Algorithms and Data Structures	12	30
Databases and Information Systems	9	29
Computer Architecture	12	30L
Compilers and Interpreters	9	28
Computer Networks	6	30
Analysis of Algorithms and Data Structures	6	28

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📚 IT Books I've Read / Currently Reading

These books are part of my self-learning journey, helping me complement my academic studies with practical knowledge in AI, ML, computer vision, automation, and software design.

Title	Topic / Area
HTML & CSS – Jon Duckett	Web Development
Absolute Java / Advanced Programming – Walter Savitch	OOP Programming
Statistica per le decisioni – Piccolo	Statistics
Operating System Concepts – Silberschatz, Galvin, Gagne	Operating Systems
Reti Logiche – Bolchini et al.	Computer Architecture
Calculus I – Bramanti	Mathematics
Discrete Mathematics and Its Applications – Rosen, Carlino	Discrete Math / Logic
Legal Science & IT – Parisi, Pietropaoli	Legal Informatics
Clean Code – Robert C. Martin	Software Engineering
Architecture Patterns with Python – B. Gregory, H. Percival	Software Architecture
Doing Data Science – Cathy O’Neil, Rachel Schutt	Data Science
Essential Math for AI – Balazs Holczer	Math for AI
ML & DS Blueprints for Finance – Hariom Tatsat	ML + Finance
Practical ML for Computer Vision – Valliappa Lakshmanan et al.	Computer Vision
Programming PyTorch for Deep Learning – Eli Stevens et al.	Deep Learning (PyTorch)
AI and Machine Learning for Coders – Laurence Moroney	AI for Developers
Think Stats – Allen B. Downey	Stats + Python
Software Engineering for Data Scientists – Catherine F.	Software Engineering for DS
Advanced Industrial Automation & PLC Programming – Krishna Kumar	PLC & Industrial Automation
PLC for Beginners – Josh Aaronson	Industrial Systems
Docker: Develop and Deploy with Containers – Serena Sensini	Containerization

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🧠 “Stay hungry, stay foolish.” – Steve Jobs