Real-time safety algorithms

Core-body-temperature, fatigue and device-fit prediction on live sensor data.

As Senior Software Engineer, built the biometric safety algorithm suite — real-time core-body-temperature, mental-fatigue and device-fit prediction — reducing critical safety incidents across participating industrial sites.

Key features

• Real-time core-temp, fatigue and device-fit prediction
• Reduced critical safety incidents on industrial sites

Built with — how & why

• 
  Python

  Algorithm implementation.
• 
  pandas

  Feature engineering over the sensor data.
• 
  SciPy

  Signal processing for the physiological models.
• 
  TensorFlow

  The predictive models.
• 
  Databricks

  Training and experimentation at scale.