JRV

Portfolio / CASE STUDY

Private AI evaluation prototype

Ad Classifier.

A synthetic ad ranking and creative review lab that compares a typed model with heuristic and oracle baselines.

MY ROLE

Independent ranking, simulation, and product engineering

Why it exists

Without production click data, a ranking prototype still needs a way to separate promising behavior from a convincing demo.

What I built

I built a synthetic audience and inventory, a ranking pipeline, and an auction simulator. A review interface lets someone inspect creative judgments and compare ranking arms.

Engineering decisions

01

Separate retrieval from ranking

Candidate retrieval narrows the inventory, then the ranker scores the pool. Page selection discounts repeated topics to diversify the result.

02

Calibrate with known answers

A synthetic engagement function provides an oracle. A heuristic and an offline stub make it possible to compare behavior under repeatable conditions.

03

Measure quality and operation together

The prototype tracks calls, latency, token use, and fallback behavior so ranking quality can be considered alongside operating costs.

Capabilities in practice

  • AI evaluation design
  • Ranking systems
  • Synthetic benchmark design
  • Model fallback

Status & scope

Private research prototype. Experiments use synthetic ads and audiences. I can discuss the evaluation design on request.

Private repository ad-classifier

KEEP EXPLORING

Local Image Studio