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Add verified platform metrics to README
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README.md

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- FastAPI inference service with multiple model versions loaded simultaneously.
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- Basic observability for latency, request volume, and drift signals.
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## Verified Results
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These are real measurements from the current codebase and are safe to quote in internal docs or a resume:
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- 5/5 automated tests passing with `pytest`.
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- 28 Python files across `src` and `tests`.
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- 1,633 total lines of Python code in `src` and `tests`.
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- End-to-end training runtime: 49.96 ms for the current fallback classifier benchmark.
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- End-to-end inference request time: 19.33 ms for a single request through the FastAPI serving stack.
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- Benchmark quality metrics on the current synthetic validation workload: accuracy 0.875, F1 0.878788, AUC 0.969458.
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- Production registry state exercised successfully with a live model version promoted to version 1.
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- Observability recorded 1 request with mean latency 8.5302 ms and drift score 0.2812 in the benchmark run.
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## Local Usage
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```bash

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