AI · Healthcare · ML

Automated ML training for biometrics and medical device identification

Custom machine learning pipelines with automated training flywheels for biometrics and medical device identification.

Orpheus builds machine learning systems for biometrics and medical device identification — with automated model training pipelines that create a continuous improvement flywheel.

Models are trained, evaluated, and redeployed with human oversight at every stage. Automated training pipelines compress iteration time, while evaluation harnesses and review gates keep production releases dependable in regulated contexts.

The work focuses on identification accuracy, operational reliability, and a clear handoff between automated suggestions and human sign-off.

Stack
PythonPyTorchMLOpsComputer Vision
Highlights
  • Automated ML model training pipelines
  • Biometrics and medical device identification
  • Continuous improvement flywheel with human review
  • Production-grade evaluation harnesses
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