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About Me
Name: Andrea Alberti
Profile: GenAI Engineer
BSc. Degree: Management Engineering
MSc. Degree: Data Science - Computer Engineering
E-Mail: andalberti99@gmail.com
Key Skills
Certifications
Google Cloud Certified: Professional Machine Learning Engineer
GenAI Engineer & Data Scientist
Graduated with a double degree in Management and Computer Science–Data Science, I have gained substantial experience in multidisciplinary projects. I specialize in applying machine learning, deep learning, and most recently Generative AI techniques to develop innovative and automated solutions.
My academic journey, from Management Engineering (110/110 cum laude) to a Master's in Data Science (110/110 cum laude), has given me a unique blend of technical expertise and strategic thinking. This allows me to approach complex problems from both a business and a technological perspective.
Professionally, I focus on building intelligent systems—from multi-agent architectures that automate complex business processes to advanced conversational AI—to drive efficiency and reduce operational costs. My goal is to continuously improve myself, using AI to create tangible value.
"The only way to do great work is to love what you do." - Steve Jobs
Professional Projects
A selection of professional projects where I applied Generative AI and Machine Learning to solve real-world problems.
Automated Document Validation System
Led the full-stack implementation of a multi-agent system to automate the verification of public funding documents. The goal was to digitize a complex manual process, drastically reducing processing times via a flexible and modular architecture.
Technologies and Skills:
API Integration, Google Cloud Platform (GCP), Agent Development Kit (ADK), Python, HTML/CSS/JS
Advanced Multi-Agent Chatbot
Implemented a sophisticated chatbot architecture using Dialogflow CX. The system featured a main orchestrator agent routing requests to five specialized sub-agents, capable of answering user queries from a knowledge base of web pages and PDFs.
Technologies and Skills:
Dialogflow CX (Conversational), Google Cloud Platform (GCP), Python, Generative AI, Multi-Agent System
Real-Time Multimodal Conversational Agent
Developed a real-time multimodal agent using the Google Agent Development Kit (ADK). The system processes audio/video inputs simultaneously, sustains fluid conversations, and autonomously performs browser operations through reasoning and tools.
Technologies and Skills:
Google Cloud Platform (GCP), Agent Development Kit (ADK), Gemini Live API, OpenAI Browser Use
Automated Ticketing System
Built a multi-agent ticketing system to automate user responses. The POC involved creating specialized agents that interact with external databases via APIs to provide accurate replies, routing requests to the most competent agent to reduce staff workload.
Technologies and Skills:
Generative AI, Ticketing Automation, Multi-Agent Systems, Google Cloud Platform (GCP), API Integration
Intelligent Email Classification Pipeline
Created an LLM-based pipeline to classify and dispatch certified emails (PEC), automating a manual process to reduce costs. Focused on advanced prompt engineering and few-shot learning to handle heterogeneous documents and complex user requests.
Technologies and Skills:
Generative AI, Prompt Engineering, Process Automation, NLP
RAG-Based Virtual Assistant
Implemented a virtual assistant using a Retrieval-Augmented Generation (RAG) architecture. The application leverages Google Cloud ADK and Vertex AI Search to retrieve relevant information from a corporate datastore and generate accurate, contextualized responses.
Technologies and Skills:
Generative AI, RAG, Artificial Intelligence, Agent Development Kit (ADK)
Data Science Projects
Here you can find some of my data science projects. Click on them for details.
Heart Disease Detection
3 Jul. 2024
Clickbait Detection
16 Jun. 2023
Helpfulness Prediction
26 Sep. 2023
Disease Prediction
20 Dec. 2023
DDoS Attack
10 Jul. 2023
Vanishing Points
10 Nov. 2023
Education
My pursuit of knowledge has shaped my academic journey spanning diverse fields and cities, each chapter unfolding with new experiences and growth.
High School
I attended Administration, Finance and Marketing at Giacomo Perlasca, where I graduated with 97/100 in 2018.
Bachelor Degree
From 2018 to 2021 I attended Management Engineering at University of Brescia, where I graduated with 110/110 cum laude.
Master Degree
From 2022 to 2024 I attended Computer Engineering - Data Science at University of Pavia, where I graduated with 110/110 cum laude.
Artificial Intelligence
Learning the core of Logic and Artificial Intelligence.
Grade: 30/30 cum laude
Advanced Biomedical Machine Learning
Advanced ML techniques applied to the biomedical field.
Grade: 30/30 cum laude
Statistical Learning
Fundamental concepts of Statistical Learning Theory.
Grade: 30/30
Machine Learning
Comprehensive study and application of ML and DL models.
Grade: 29/30
Financial Data Science
Exploring Graph Theory and its application in Machine Learning.
Grade: 30/30 cum laude
Data Science & Big Data Analytics
Handling Big Data with Hadoop, Spark and MongoDB.
Grade: 30/30
Information Security
Fundamentals of cryptography, digital signatures, and more.
Grade: 30/30
Numerical Methods
In-depth exploration of mathematical optimization methods.
Grade:30/30 cum laude
Young Business Talent
2018 Final Phase Group Winner
My Passions
Other things I love to do.
Doing sports
Active Body, Active Mind
It is important for me to have moments to take care of my health. I set up a small home gym and I also love playing tennis and football.
Watching Formula 1
'If you no longer go for a gap which exists you are no longer a racing driver'
I love Formula 1 because it is the perfect mix of passion, ability, and strategy. — Ayrton Senna
watching football
A long lasting family tradition
I inherited from my grandfather the passion for football. I love watching and analyzing matches and I'm a big fan of AC Milan since ever.