MPMirtunjay PrasadSenior SDET · AI Quality Engineering
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Senior SDET · Quality Engineering Leader · AI Testing Practitioner

I build quality systems that help teams release faster, safer, and with more confidence.

Senior SDET focused on automation architecture, AI quality engineering, release confidence, and practical validation across UI, API, CI/CD, and AI-backed workflows.

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20+ yearsEnterprise QE
Moody'sCurrent team
SalesforcePrior scale
UI · API · CI/CDFull-layer quality
2 live QE toolsTestPilot + QualityLab
Live proof

AI-assisted test creation and execution evidence, with human approval at the decision point.

AI-assisted quality engineering

TestPilot AI

Live project

An AI-assisted QA copilot that creates test cases, generates guarded Playwright code, queues user-approved execution, and saves outcomes in Neon.

What you can doOpen and explore
01

Structured test plan

02

Guarded Playwright spec

03

GitHub Actions outcome

1 approvalExecution gate
GitHub ActionsIsolated runner
NeonSaved outcomes
Try TestPilotRead the case study

The quality signal

From product story to release evidence.

A practical quality toolkit, with human judgment at every decision point.

StoryA real user needTestPilotPlan, generate, validateGitHub ActionsRun approved specQualityLabBroader QE evidenceRelease confidenceA clearer decision
20+ yearsSoftware quality, automation, and release confidence across enterprise product teams
Senior SDETAI quality engineering, automation, validation, and release confidence
UI + API + CI/CDPractical automation strategy across UI, API, CI/CD, and delivery workflows
AI + qualityModern validation for AI-backed journeys, risk-sensitive flows, and trust
How I help teams

Quality engineering is more than test automation

As a Senior SDET, I focus on scalable automation architecture, release confidence, AI-quality validation, and practical quality signals that help teams ship with clarity.

01

Automation architecture

Design Playwright and TypeScript automation systems that stay maintainable as product scope grows, teams change, and execution needs become more operational.

Moody's · Salesforce

02

AI quality engineering

Validate AI-backed workflows with practical evidence, fallback awareness, and engineering boundaries so AI stays useful without becoming the source of truth.

Agentforce · AI validation

03

Release confidence

Translate testing work into clearer release signals, stronger sign-off conversations, and practical evidence that helps teams decide whether software is really ready.

Release gates · sign-off

04

Full-layer quality

Work across UI, API, CI/CD, data, and operational workflows so quality is built through the delivery stack instead of isolated in one test layer.

UI · API · CI/CD
Projects

One flagship project, three supporting proofs

QualityLab adds execution evidence, while two supporting builds show broader product engineering range.

Project archive
Quality engineering

Playwright AI QualityLab

A product-style quality engineering platform that combines Playwright execution, operational visibility, release-confidence reporting, evidence review, and AI-assisted failure analysis.

Explore QualityLab →Case study →
More details
Operational quality engineering

AI QE Control Center

A quality control surface that connects Playwright execution, workflow selection, release-confidence scoring, observability, and evidence review.

Release confidence
Operational visibility
Execution evidence

5 suites

Validation paths

100/100

Release confidence

Playwright AI QualityLab workflow preview
PlaywrightTypeScriptNode.jsOperational dashboardAI-assisted triage
Public demo

Stock Analysis Platform

A Next.js portfolio demo that shows five-agent stock analysis, consensus scoring, chart context, and guided recommendation output without requiring visitor API keys or live paid services.

Live demo →Case study →
More details
Cost-safe AI demo

Stock agent lab

A deterministic demo workspace that combines stock overview, price chart, market context, consensus scoring, and five agent outputs.

Static snapshots
Consensus score
No API keys

5 agents

Analysis model

8 tickers

Demo coverage

Next.jsTypeScriptRechartsStatic snapshotsAPI route
Agentic system

Resume Agent Next.js

A Next.js portfolio system that turns resume input into structured profile content through an agent-based processing pipeline and reusable website sections.

Live demo →Case study →
More details
Resume processing pipeline

Resume-to-portfolio system

A workflow that starts with resume.pdf, processes it through AI agents, and renders structured portfolio sections from generated profile data.

Resume PDF input
Agent processing
Generated site sections

2-stage

Agent workflow

2 providers

AI flexibility

Next.jsTypeScriptOpenAI / OllamaPDF parsingContent generation
Mirtunjay Prasad

Senior SDET · AI Quality Engineering

About me

Senior SDET building practical quality systems teams can trust.

My work sits at the intersection of automation architecture, release confidence, AI-quality validation, and the day-to-day quality decisions that keep complex software trustworthy.

Dallas, Texas20+ years in software deliveryMoody's · Salesforce · Enterprise QE
More about me
Recommendations

Trusted by engineering leaders

Curated LinkedIn recommendations that reinforce the quality of the work and the way I show up on teams.

“Mirtunjay is an exceptional engineer and wonderful team player. He consistently delivers high quality work you can depend on.”

Peter Finley

Lead Software Engineer at Salesforce

Worked on the same team · March 2025

“I've hired dozens of engineers in my career and Mirtunjay was one of the best. I could totally rely on the final delivery being solid, performant, and very well tested.”

Avrami Hendlish

Engineering and Tech Ops Leader at Salesforce

Direct manager · February 2025

Contact

Let's continue the conversation.

Reach out through the contact page, download the resume, or review LinkedIn if you want a fast summary of the work first.

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