Freelancer profile translated to English.
Back to original languageAbout Luca
Data Scientist & Engineer with 7 years of experience, graduate of EPFL (Bachelor's and Master's degrees in computer science).
My career has led me to work with a wide range of technologies in data science and machine learning: classic models (neural networks, random forests, regressions), as well as more recent systems based on LLMs (GPT, Claude), including RAG architectures and vector database integration.
I am proficient in the entire data pipeline: data collection and structuring, cleaning and validation, model training, production deployment, monitoring, and visualization.
I have gained experience in several sectors, including finance, e-learning, and biotech, in environments ranging from startups to more established structures.
Fluent in French and English, with a basic knowledge of German and Italian.
French
Native or bilingual
English
Fluent
German
Conversational
Italian
Conversational
Can work on-site
Genève (up to 50km)
Experience
- TaskbaseData ScientistEDUCATION AND E-LEARNINGApril 2022 - December 2025 (3 years and 8 months)Zurich, Switzerland
- Developed and deployed NLP models using RAG-powered LLMs (GPT, Claude, Gemma), specialized tools (Google Natural Language API, Parzu), and in-house Machine Learning models to evaluate student responses in grammar, content, and mathematics, achieving over 90% accuracy on complex problems.
- Integrated backend solutions using Kotlin, Kubernetes, and Docker to improve model deployment processes.
- Managed research operations on independent and collaborative projects, supervising team members and ensuring project deliverables.
- Analyzed and developed visualizations from multiple data sources (SQL, NoSQL, API...) to facilitate data-driven decision-making within teams.
- Swissbilling (Cembra Money Bank)Data Scientist & ML EngineerE-COMMERCEOctober 2018 - March 2022 (3 years and 5 months)Renens, Switzerland
- Full ownership of the data science pipeline, from data selection to model development, deployment, and monitoring.
- Successfully implemented machine learning solutions such as automatic PDF invoice readers, ID card recognition and analysis, batch separators, facial recognition, and facial spoofing detection, reducing IT support workload by 20-40% and risk management by 30%.
- Collaborated on backend (C#) and frontend (AngularJS) development, contributing to scalable and user-friendly interfaces.
- SimplicityBioData Science InternBIOTECHFebruary 2018 - September 2018 (7 months)Épalinges, Switzerland
- Machine learning research on medical time-series data.
- Comparison and implementation of state-of-the-art ML techniques for medical applications.
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Education
- Master in Computer ScienceÉcole Polytechnique Fédérale de Lausanne (EPFL)2018Focus data science
- Bachelor in Computer ScienceÉcole Polytechnique Fédérale de Lausanne (EPFL)2016Bachelor en Informatique