| A global endpoint & security management vendor struggled with slow, manual QA cycles. Regression testing across multiple OS and application versions delayed releases and consumed significant engineering effort. |
| Design an analytics‑driven testing platform to automate result collection, triage, and feedback loops—reducing cycle time while improving reliability. |
- Architected BRAVO, a data analytics framework to aggregate test telemetry and automatically classify failures.
- Integrated with CI/CD to trigger targeted re‑runs and prioritize fixes based on impact.
- Built dashboards for engineering and QA to visualize coverage, flakiness, and pass/fail trends.
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- Cut test cycles from days to hours.
- Improved release predictability and reduced failed deployments.
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| Estimated savings of $1.8M annually from reduced effort and faster release velocity. |
| Accelerated delivery without sacrificing quality, demonstrating measurable value of DevOps + analytics in enterprise software pipelines. |