👋 Hi! I'm Giacomo Pacini
I am a passionate software engineer freshly graduated in the Master’s degree in Artificial Intelligence and Data Engineering at the University of Pisa with a thesis titled Advanced Query Suggestion for Interactive Text-to-Image Retrieval: A Novel Task and Benchmark, focused on computer vision, multimodal AI and information retrieval.
With a strong foundation in computer engineering, coupled with expertise in deep learning, cloud computing, and data engineering, I am dedicated to leveraging technology to solve complex challenges and drive innovation.
My interests
I love designing and developing things that impact on people’s everyday life. My main skill is logical thinking, and I like to apply it to software engineering problems.
What I’m doing
I am an associate researcher in multimodal Artificial Intelligence at CNR - ISTI, part of the Italian National Research Council.
I am doing research in the field of image captioning, multi-modal information retrieval and multimodal AI in general.
This November I started my PhD at the University of Pisa.
Projects 💻
dronesimulator 🚁📝🔎
- Description: I developed a web platform that simulates the exam needed to achieve the Open Category UAS pilot certificate (drone pilot), it currently has more than 24.000 users.
It implements machine learning techniques for questions classification. - Technologies Used: PHP, SQL, JavaScript, Python, Flask, SciKit-Learn
- Link: dronesimulator.it
- More details: here
TravelTales 🚗♫📰👥
- Description: An in-car service that generates a radio feed customized on passengers’ interests exploiting various machine learning and AI techniques.
- Technologies used: deep neural networks, transformers, dense information retrieval, TTS, face recognition, voice recognition, emotion recognition
- university project, made in team
- the aim of TravelTales is to fuel car conversations by generating personalized news feeds
- exploit emotions to estimate passengers engagement levels
- More details: here
Mobile ( & WearOS): Train Around 🏋️♂️⌚
- teams’ workout tracking application: the aim is to control athletes health and training status live
- mobile apps for WearOS (athletes) and for android (trainer)
- creates a Bluetooth Low Energy network of athletes sending real-time training data to a trainer
- More details: here
Deep Learning: Road Status Classifier 📊🖼️🛤️
- recognize roads’ mantainance statuses
- university project, made in team
- generation & labelling image dataset
- NN, CNN and transfer learning
- More details: here
Backend web + Database: MappIt 🗺️📍🍃
- “explorations’ social network”: discover new places to visit and share adventures and experiences
- Java backend implementation using Spring framework
- NoSQL technologies such as MongoDB and Neo4J
- More details: here
Internet of Things: SmartSupermarket 🕸🏭🛒
- university project, made in team
- IoT network (MQTT & CoAP)
- nodes firmware (Contiki-NG based)
- server collecting and processing nodes’ data
Articles 📝
Visit the publications section for the complete list of articles.
Blog 📝
Latest Posts 📰
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How I prevented users registrations from disposable email addresses
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How to create a database of thousands of users in a couple of hours
Visit the blog section for the complete list of posts.
Education 🎓
Master’s Degree: Artificial Intelligence and Data Engineering
University of Pisa, 26th July 2024
Degree mark: 110/110 cum laude
- data mining techniques and algorithms, machine learning and deep learning knowledge
- team work and project management expertise
- design and implementation of distributed systems NoSQL
- Android and WearOS apps development and programming principles
- process management and process mining skills
- cloud computing: infrastructural models, cloud platforms and cloud programming models (Hadoop and Spark applications)
Bachelor’s Degree: Computer Engineering
University of Pisa, 30 April 2021
Degree mark: 110/110
- object oriented programming, databases analysis and management skills
- logical networks, computer architectures, digital electronics skills
More infos
Interests
artificial intelligence
drones
smart home
personal finance
cloud computing
electronics
programming
DIY
web development
tech devices
3D printing
CTFs
mobile development
Programming languages and frameworks
TensorFlow
Sci-Kit Learn
Julia
Hadoop
Spark
MongoDB
Neo4J
SQL
Python
Java
C++
Assembly
JavaScript
HTML, CSS
PHP
Laravel
Technical knowledge
OOP
cloud models
NoSQL
IoT
Data Mining
Machine Learning
Deep Learning
Reinforcement Learning
Evolutionary AI
Linux
Computer networks
Computer architectures
Contact Me 📬
Feel free to reach out to me via email at giacomo@paciosoft.com or connect with me on LinkedIn.