Luca
I build data-driven solutions
A passionate ML/AI scientist & tech developer. From Proof of Concept to Productionized app, I love turning data into products that drive real business impact.
Hi, I'm
OpenSource Projects
LLM
OCR
PyQt
Huggingface
MEGACAT - A Productionized AI APP
MEGACAT is a full-stack AI toolchain for processing, labeling, and curating vinyl LP archives. From OCR to structured metadata, it brings automation and human-in-the-loop editing into one streamlined workflow.
RAG
LLama-Index
Streamlit
Messy AI: A RAG-Based Text-to-SQL Assistant for SMBs
This thesis presents Messy AI, a proof-of-concept system employing Retrieval-Augmented Generation (RAG) to translate natural language queries into executable SQL statements. Aimed at small and medium-sized businesses (SMBs), the system addresses the challenge of limited technical expertise by enabling intuitive, conversational access to structured data. The solution combines semantic retrieval with generative language modeling to ensure accurate, context-aware query formulation.
AT Protocol / Bluesky
FastAPI
Python
Decentralized, Privacy-First Tax Allocation APP
This proof of concept explores a digital tax allocation system that prioritizes user privacy and data sovereignty. It integrates client-side encryption and decentralized identity through the AT Protocol, enabling secure, transparent participation with private, anonymous, or public sharing options.
About Me
I’m a data scientist and AI developer with a background in business analytics and digital marketing. I specialize in building end-to-end data products — from proof-of-concept to production-ready systems.
I started in performance marketing, using data to guide strategy across global teams. Over time, I transitioned into machine learning and LLM-based applications, where I now focus on delivering practical, intelligent solutions.
I recently completed my MSc in Data Science & Business Analytics and currently work as a freelance consultant, helping businesses turn data into scalable, real-world impact.
Here is my current tech stack:
Programming Languages
Python, SQL, Rust (in-learning), PySpark (in-learning)
Python, SQL, Rust (in-learning), PySpark (in-learning)
Data Science Tools
Pandas, Scikit-learn, NumPy, MLflow, wandb
Pandas, Scikit-learn, NumPy, MLflow, wandb
AI Libraries & Frameworks
PyTorch, Hugging Face Transformers, Ollama
PyTorch, Hugging Face Transformers, Ollama
Agents Frameworks
LangChain, LangGraph, LlamaIndex, SmolAgents
LangChain, LangGraph, LlamaIndex, SmolAgents
Cloud
Google Cloud Platform, AWS, Databricks
Google Cloud Platform, AWS, Databricks
Deployment & CI/CD
Docker, FastAPI, GitHub Actions, Jenkins
Docker, FastAPI, GitHub Actions, Jenkins
Hobbies & Origins
🎸 Jazz & classical Guitarist
🎧 Listening to music
🌍 Traveling the world
🧗🏼 Rock Climbing
🍻 Drinks with friends
📚 Reading
Origins: 🇨🇭 🇮🇹 🇹🇹
Experience
Worked with small businesses across real estate, entertainment, retail, and the public sector to help them leverage data for smarter decisions and automation.
- Built time series forecasting models and marketing analytics tools to inform strategic decisions.
- Developed ETL pipelines and production-ready dashboards for real-time insights.
- Designed and deployed machine learning and LLM applications to streamline operations and boost performance.
Contributed to global data-driven marketing strategies, optimizing performance and ensuring data consistency across international teams.
- Improved conversion with RFM-based customer segmentation (+0.8% CR increase).
- Boosted ad profitability by 120% in 3 months using predictive modeling.
- Implemented Marketing Mix Modeling to guide smarter budget allocation.
- Led global standardization of marketing data across 40+ countries.
Led data-driven media strategies for major clients like Nestlé and L’Oréal, focusing on performance optimization at scale.
- Managed over $10M in annual digital ad spend across social, search, and programmatic platforms.
- Delivered actionable insights that improved campaign efficiency and ROI.
Education
Sept 2023 – July 2024
MSc in Data Science & Business Analytics
IE University – School of Science and Technology
GPA:
3.9 out of 4.0 (Dean’s List, ranked 6th)
- Developed a Text-to-SQL Retrieval Augmented Generation (RAG) system as part of my Master Thesis.
- Earned distinction in courses like Python for Data Analysis, Big Data Strategy, ML, and AI in Operations (time-series).
Sept 2017 – Jan 2020
BSc in Digital Marketing & Business Analytics
OMNES Education
- Built a strong foundation in business analytics, digital marketing strategy, and performance metrics.
- Gained practical experience in using data to inform marketing decisions across digital channels.
Let's get in touch!
My inbox is always open. Whether you have a question about my work, a new business idea or a job opportunity, feel free to reach out! I’m always open to discussing new projects and collaborations.