engineering-analytics

Git repository archaeology framework — mine commit history, detect signals, run 6 analysis vectors, and generate engineering reports. Python CLI + AI-agent ready.

Measure your Hermes Teammates with Zest

FlowBoard generates self-contained HTML delivery dashboards from Jira data, with sprint health, capacity, epic progress, risk detection, blockers, dependencies, and what-if simulations.

Every coding session, human and AI, in one place. A self-hosted control plane for R&D: see which people and which agents are working on what, with which model, and how it ended.

Semiconductor quality workbench: process data validation, chronological ML evaluation, SQL yield KPIs, and auditable engineering investigations.

AWS-native delivery intelligence platform that connects Jira and GitLab, diagnoses engineering workflow bottlenecks, runs guarded Text2SQL analytics, and measures intervention ROI.

Reproducible engineering analytics for ion-exchange treatment of low-level radioactive liquid waste, from material screening and column studies to hydraulics and spent-media assessment.