Sophie Yin
← All work

Model-evaluation triage

2025 · Shipped · Built at Alt · Patent pending · Python

Case study

Code is private
Problem

No single pricing model wins everywhere. Some asset buckets price cleanly with one approach and badly with another — and routing them by hand meant expert time spent on assets a model could have handled.

What it does

Evaluates the candidate pricing models against each asset bucket, scores them, and routes every bucket to the winner — so more assets get priced automatically and experts only see the ones no model handles well.

Architecture
  1. 01Asset bucketing
  2. 02Candidate model evaluation
  3. 03Per-bucket scoring
  4. 04Routing to the best model
  5. 05Fallback to expert pricing
Stack
  • EvaluationModel scoring harness
  • RoutingPer-bucket selection logic
  • RuntimePython on AWS
  • ServingML pricing API
Outcomes
  • Auto-priced rate up more than 20%
  • Manual pricing workload cut
  • Patent pending — named inventor

Code is private — happy to walk through it.

Curious how this would look on your problem?

sophie.fc.yin@gmail.com
Seattle, WA · Sophie YinLinkedIn