Bridging theoretical modeling and robust production deployment — Financial AI, LLM strategy, and mission-critical infrastructure.
Core Technologies
01About
I'm a Senior Data Scientist and Systems Architect with over 8 years of specialized AI/ML experience, built on a 25-year foundation in mission-critical infrastructure.
My career has been defined by bridging two worlds: the theoretical complexity of machine-learning models and the rigorous demands of production engineering. I don't just build models — I architect scalable solutions to hard problems in Financial AI and predictive analytics.
02Experience
Oracle NetSuite AI
Oracle NetSuite AI
Glovo · Marketing & Growth
Architected data pipelines with PySpark, S3 and Redshift. Optimized external-provider integration, saving over €150k monthly.
JP Morgan Chase
Spearheaded ML solutions (Linear Regression, SVM, Random Forests) to optimize global technology infrastructure.
Kimberly-Clark
Engineered a predictive-maintenance model (LSTM, ARIMA) forecasting chemical spills — projecting ~$1M annual savings.
↓ Infrastructure & Systems Architecture Era
IT evoluxion
Founded and led a professional-services firm — an 11-engineer team delivering virtualization and cloud infrastructure to 25+ enterprise clients.
Sun Microsystems · Banco Santander
Managed mission-critical Unix environments and implemented High-Availability clusters.
03Research & Intellectual Property
Machine learning for anxiety and depression profiling and risk assessment in the aftermath of an emergency
Artificial Intelligence in Medicine · Volume 157
Point-in-Time Relative Outlier Detection
Generating Enhanced Queries Using ML Models
Generating Vector-Based Recommendations
Cross-Cluster Transaction Risk Assessment
04Selected Work
A few representative deep-dives — case studies and talks, not throwaway demos.
A scalable pipeline screening 10M+ daily transactions for relative outliers with unsupervised learning and distributed compute.
SuiteWorld 2024 keynote on moving financial exception management from legacy PL/SQL to a distributed PySpark architecture.
05Contact
Available for consulting and architectural reviews — whether that's bridging the gap from POC to production or optimizing high-load pipelines. Let's talk.