José Daniel Hernández Cano

I am a software analyst and developer passionate about technology and building innovative solutions. I use my skills in data analysis and system design to tackle complex problems with a practical, efficient approach.

In my backend work, I develop and maintain scalable backend architecture of enterprise APIs using Python and FastAPI. I implement advanced capabilities like quota management, AI-driven features, and seamless integration with frontend teams, while ensuring user experience consistency.

I design and optimize data and system components across PostgreSQL, Redis, and DynamoDB to protect data availability and integrity. I also implement end-to-end telemetry with OpenTelemetry for API monitoring, version control with Git, and performance bottleneck identification.

I ensure software quality through unit tests and stress tests to validate load capacity, and I use Docker to support portability and consistent deployment. I also apply machine learning to real use cases, developing a linear regression model for credit scoring with XGBoost, scikit-learn, Pandas, and NumPy.