M.Sc. in Advanced Physics (Computational Physics). Specialized in Generative AI models for synthetic hadronic particle simulations, exploring diffusion models and invertible neural networks (INNs) for high-energy physics applications.
Currently working as a Senior Data Scientist at CoverWallet (Aon), leveraging large-scale data analysis, LLM-based applications, and machine learning to enhance decision-making and automation in complex environments.
Selected work
ML, data engineering, and strategic implementations at scale
Led end-to-end implementation of AI-driven Anti-Money Laundering detection platform across 4 international geographies for Banco Santander.
Re-architected feature calculation pipelines to handle billions of transactions daily with advanced orchestration and distributed computing.
Built comprehensive market intelligence platform integrating competitor analysis, price tracking, and patent expiration monitoring for pharmaceutical industry.
Developed methodologies to measure financed emissions and climate-related risks for financial institutions, contributing to ECB stress testing.
Designed and deployed unsupervised machine learning models to detect money laundering, human trafficking, and terrorism financing patterns.
Developed automated data collection pipelines for market analysis using web scraping, PDF parsing, and data extraction tools.
Career
Building at the intersection of machine learning, data engineering, and real-world impact
CoverWallet (Aon)
Leveraging large-scale data analysis, LLM-based applications, and machine learning to enhance decision-making and automation in complex environments.
Freelance
Developing custom solutions for international clients, focusing on automation, predictive models, and Generative AI strategies.
Ironhack
Mentoring the next generation of Data Scientists, teaching Artificial Intelligence, Machine Learning, and Python.
ThetaRay
Led a cross-functional team of 10 professionals. Spearheaded the development of unsupervised ML models to detect financial crimes (AML) for global banks like Santander.
InsudPharma
Designed and implemented data-collection pipelines using Selenium and BeautifulSoup. Developed internal web applications for tracking KPIs and analyzing new business opportunities.
Management Solutions
Developed methodologies to measure financed emissions and climate-related risks. Validated models for IFRS9 and risk projections for the 2022 ECB climate stress test.