Evaluation · CI/CD · Observability

LLM Evaluation & Quality Gate Framework

Automated quality gates with per-metric reports, model and prompt version tracking, and dashboards for regression diagnosis.

MY ROLEEvaluation harness design, CI/CD integration, dashboards, and release policy

SCOPEA modular evaluation harness covering retrieval, generation, classification, policy adherence, prompt changes, and index updates before release.

EVIDENCEProfessional experience · public-safe summary

200+curated test cases

87%flow coverage

67%fewer regressions

THE PROBLEM

Why this system existed

LLM quality can regress silently across retrieval, prompts, models, and indexes. Releases need repeatable evidence rather than one aggregate score.

OUTCOME

What changed

Reduced post-deployment production regressions by 67% over a 12-month measurement window.

REFERENCE ARCHITECTURE

Controls around the model

01Classify

02Route

03Retrieve

04Rerank

05Generate

06Validate

07Observe

DECISIONS

Trade-offs considered

Per-PR threshold gates

Retrieval and generation metrics separated

Versioned metric trajectories

Block merges on critical failures

FAILURE CASE

What did not work

Prompt-template drift caused silent standards-mapping regressions; trajectory dashboards exposed the change before user-facing impact.

SECURITY BOUNDARY

Public-safe by design

This case study exposes patterns, not employer architecture. It uses synthetic data, no client identifiers, no internal prompts, no proprietary datasets, and no production endpoints.

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