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LLM eval tooling · 2026

LLM Evaluation Tooling

Collapsing a sprawling set of Intel OpenVINO LLM-evaluation pages into one coherent surface, plus the daily-diff dashboards engineers use to compare releases.

Role
Frontend Developer (Angular), part-time contract
Year
2026
Category
LLM eval tooling

The brief

Intel’s OpenVINO team, engaged via Alten Poland, had accumulated 20+ heterogeneous LLM-evaluation report pages — each hand-built, none sharing a common template. The brief was to collapse that sprawl into a small number of reusable page templates, then build the dashboards engineers actually needed: a fast way to see how inference performance shifted from one release to the next.

A short, deliberately spec-driven engagement — strict Angular component and service specs written up front, then implemented step-by-step with GitHub Copilot and Claude Opus.

What shipped

20+ heterogeneous LLM evaluation report pages refactored into 2 reusable Angular page templates with configurable RxJS data pipelines.

~10 new composable reports enabled on top of those templates without per-report frontend rework.

Daily-diff dashboards comparing LLM inference metrics — latency, throughput, runtime parameters — across releases, giving engineers instant regression visibility versus the prior day and prior build.

A spec-driven agentic delivery workflow: written specs, then iterative implementation with GitHub Copilot and Claude Opus.

Stack

AngularTypeScriptRxJSSCSSGitHub CopilotClaude Opus
© 2026 Ihar PetrasheuskiLLM eval tooling