Software Engineer · AI & Automation.
Solid foundation in full-stack development (.NET Core, Angular) and a growing specialization in applied AI. Real experience taking AI solutions to production at government/enterprise scale, plus building and validating my own predictive models with Python.
Enterprise systems that hold up under real load, and AI/data models validated with rigor.
AI & Data
AI-Powered Biometric Validation
Facial recognition + liveness detection with AWS Rekognition, integrated with RENAPER
Agricultural monitoring with Machine Learning
Crop monitoring app with ML and IoT traceability on AWS QLDB (Spanish client)
2026 World Cup prediction model
Elo rating, Poisson and Monte Carlo simulation to estimate each team's probability, validated against the real tournament
Student dropout prediction
Risk model to prioritize tutoring: who to intervene with first when resources are limited
Development & Architecture
Core API — TotalCoin virtual wallet
Core API and microservices for TotalCoin's virtual wallet and payment gateway
Audits with data analysis
Interactive data analysis system for audits in the power sector (ISA CTEEP)
Corporate expense web system
User/permission management + SAP integration for Coca-Cola Embonor
Systems Analysis
Case Study: Systems Analyst
Full systems-analysis cycle for an architecture firm: requirements gathering, UML, DFD and 13 Scrum sprints
.NET Core 
C# ASP.NET Entity Framework 
Node.js 
NestJS 
Angular 
TypeScript 
JavaScript 
React React Native 
Python 
Pandas 
NumPy 
scikit-learn 
Streamlit 
Plotly 
Power BI 
AWS Rekognition SQL AWS 
Docker Amazon ECS CI/CD DDD / CQRS Microservices Looking for a Software Engineer who combines development and AI?
Let's talk about your project. I can start right away.