AI-Enabled SDET Consultant & Release Confidence Architect

40% faster regression. 99% stable tests. Releases your leadership trusts.

I help CTOs, VPs of Engineering, and Heads of Quality fix flaky automation, cut regression cycles, and build release systems that make CI trustworthy again — with AI-enabled analysis and automation intelligence.

The spend is not for more scripts. It is for a cleaner release signal — in weeks, not quarters.

What I fix

Flaky suites, weak quality gates, slow regression, framework sprawl, and automation that slows delivery instead of accelerating it.

Why teams hire me

I diagnose the bottleneck in days, stabilize the signal in weeks, and hand off a system the team can sustain — using AI-enabled analysis to accelerate every phase.

Shaped by Oracle Logitech Flipkart
11+ years in automation leadership Enterprise and product-scale systems Global remote consulting

The real problem

Your automation suite is slowing releases instead of accelerating them.

Flaky tests destroy CI trust.

When engineers cannot tell a real failure from a false alarm, they stop trusting the pipeline. Defects slip through. Releases feel risky.

Regression takes longer every quarter.

Without architecture discipline, suites grow faster than maintainability. Each release cycle costs more calendar time, not less.

More QA headcount won't fix it.

Adding people to a broken automation system multiplies chaos. The fix is structural: cleaner frameworks, better gates, clearer ownership.

The Release Confidence Method

Diagnose. Stabilize. Handoff. In 20 days.

I do not hand over a report and disappear. I diagnose the bottleneck, execute the fixes, and leave the team with a system they own.

Phase 1 — Diagnose

Days 1–7

Audit the suite, framework, CI pipeline, and ownership model. Within 7 days, you know exactly what is broken and what to fix first.

Full method details

Phase 2 — Stabilize

Days 8–17

Execute the fixes: stabilize flaky tests, restructure gates, harden CI. Measurable improvement in release confidence within 10 days.

Full method details

Phase 3 — Handoff

Days 18–20

Leave ownership docs, runbooks, and a team that knows how to sustain the system. No dependency on me after day 20.

Full method details

Results

Proven outcomes from real engagements.

Every metric on this page comes from actual role outcomes — not aspirational targets.

"Rahul came in, diagnosed our flaky suite in a week, and stabilized it in two. Our CI went from unreliable to trusted."
— Namshi
"We were spending 30% of every sprint on test maintenance. Rahul restructured the framework and cut regression time by 40%."
— Enclouden
"After a 3-week sprint, we had clean CI, clear ownership, and a release process leadership trusted."
— Fusic

Pricing

Flat USD pricing. Defined outcomes. No surprises.

Fixed-price engagements in USD with a 50% outcome guarantee on the Stabilization Sprint.

Release Audit

$8,000

7-10 day diagnosis · Root-cause analysis · Prioritized action plan · Service recommendation.

See what's included

Stabilization Sprint

$24,000

20-day execution · Flaky fixes · Gate redesign · CI hardening · Team handoff · Outcome guaranteed.

See what's included

Advisory Retainer

$12,000/mo

Bi-weekly architecture reviews · Release readiness · Mentoring · Min. 3 months.

See what's included

Self-diagnostic

Release Confidence Checklist

8 questions to assess whether your automation is helping or hurting release velocity. Download, self-score, and book a call if more than 2 items flag red.

FAQ

Questions buyers ask before they engage.

What does week 1 look like?

Week 1 is a focused diagnosis: review the suite, map failure patterns, inspect CI, and identify the 2-3 changes that will move the signal fastest.

What if my team cannot implement your recommendations?

I do not hand over a spreadsheet and disappear. I prioritize changes by effort and impact, and stay involved through the sprint or retainer.

Will this require rewriting our automation stack?

No. The first move is usually to fix the architecture you already have, remove avoidable noise, and only then decide whether larger changes are worth it.

How do you measure success?

Runtime, flaky failure rate, CI reliability, release signal quality, and whether leadership can trust the automation output again.

How is this different from hiring a freelancer?

Freelancers deliver code. I deliver a system: diagnosis, execution, handoff, and a team that sustains it. Fixed scope, defined outcome, guaranteed timeline.

What does the outcome guarantee cover?

If your release signal is not measurably better after the Stabilization Sprint, I refund 50% of the fee. No questions asked.

Ready to fix your release signal?

15 minutes to know why your releases still feel risky. No pitch. No pressure.

Email Rahul Start With a Free Diagnosis