A selection of applied AI, ML and data science projects developed with governments, universities, and private companies across Latin America and Europe:
Estimating Crop Irrigation Needs with ML & Remote Sensing: ML + satellite data to forecast ETo and soil moisture for efficient irrigation.
Corruption Risk Detection in Public Procurement: NLP and graph analytics to reveal corruption risk patterns in Bogotá’s contracts.
Data-Driven Decision Making in Higher Education: Analytics and AI tools to improve admissions, performance, and academic planning.
Predictive Analytics for Road Safety: ML models and clustering to identify accident patterns and high-risk urban zones.
Secure Distributed Workflows for Biomedical Data: Distributed ML and privacy-preserving workflows for multi-site genomic analysis.
Architectural Pattern Detection in IaC Repositories: AI models to classify serverless, microservices, and cloud patterns in IaC code.
Image Mining in Software Repositories: Deep learning to classify software diagrams across millions of repository images.
Automated Benchmarking for Used Vehicles in Colombia: Web scraping and ML to recommend optimal used car and motorcycle purchases.
NASA Space Apps 2024 – Seismic Detection Across the Solar System: FFT + deep learning to detect seismic events and reduce interplanetary data size.
NASA Space Apps 2025 – Exoplanet Hunter AI: CNN-based system to classify exoplanet candidates from light curves with 96% accuracy, plus an educational interface and real-time chatbot.