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Enterprise AI Evaluation Framework
Enterprise AI Evaluation Framework is a project by Akash Renuka Ashok (AI Engineer). A prototype evaluation harness for generative AI systems focused on repeatability, failure analysis and regression prevention.
- Role
- AI Engineer
- Category
- AI Evaluation
- Stack
- Python, Azure OpenAI, PostgreSQL, FastAPI
The problem
Maintaining consistent performance and reliability in AI systems is difficult without structured evaluation, and silent quality regressions are easy to miss.
What Akash owned
Built the evaluation pipelines, scoring mechanisms and APIs so multiple use cases could register and receive evaluation telemetry.
Highlights
- Created standardised quality metrics and output-validation pipelines
- Classified failure modes and detected silent performance degradation
- Designed APIs so multiple use cases could register and receive evaluation telemetry
- Added regression detection, prompt-version comparison and release gating so changes to prompts, models or retrieval are checked before release
Outcome
Produced a prototype evaluation harness that makes quality regressions in generative AI systems visible and repeatable to test.
More work by Akash Renuka Ashok:
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