Worked on satellite image analysis and backend development for government systems. Led backend features for the Wildlife Registry of Aragón.
Key Achievements:
- Designed and implemented API endpoints, authentication, database schema and validation workflows
- Developed satellite-image based detection to identify vegetation risks near high-voltage lines
- Worked as main backend owner and helped coordinate tasks for two junior interns
Built machine learning workflows and data pipelines for fall detection in elderly residents using wearable accelerometer and gyroscope sensors.
Key Achievements:
- Processed real-time IoT telemetry and time-series sensor streams
- Cleaned and labeled human-motion data and trained ML models for fall classification
- Developed scalable tools to preprocess, aggregate and synchronize sensor data for downstream analysis