Quality Engineering Lab flask and signal logoQUALITY ENGINEERING LABBY TANMAY JALINDRE

LEAD SDET / AI QUALITY ENGINEER

Quality,
made visible.

Good tests tell you something.
Great demos let you see it for yourself.

I’m Tanmay. This is my hands-on lab for exploring how automation finds the problems that matter—from a subtle UI change to the evidence behind a failed test.

Explore the lab ↘REAL PROJECTS. CLEAR EVIDENCE. NO INSTALL REQUIRED.
PROJECT 001VISUAL GUARD
Looks right.
Prove it.
● ● ●visual-regression / inventory↗
A genuine approved SauceDemo inventory screenshot from the visual regression project
14/14RECORDED TESTS PASSED
✓
22SCREENSHOT BASELINES
PLAYWRIGHT + TYPESCRIPT EXPLORE BELOW ↓
THE TOOLBOXPlaywright✳TypeScript✳Cypress✳Python✳CI/CD✳AI quality

01 / SELECTED WORK

Less “trust me.”
More try it.

Interactive demonstrations of testing decisions,
their outcomes, and what the evidence means.

001INTERACTIVE DEMO

Visual Guard

Catch what functional tests can miss.

A shopping flow still works—but its product titles have changed. Compare the approved UI with an intentional regression and inspect the result.

Visual regressionPlaywrightTypeScript
18,032changed pixels detected
in the recorded regression
Open the full case study ↗

Recorded local results. This demo explores captured evidence; it doesn’t execute tests in your browser.

TRY THE COMPARISONDRAG TO REVEAL ↔
Intentional regression: product titles are larger and red
Approved baseline with original title styling
↔
APPROVEDCHANGED
Intentional styling change detected
THE LAB IS GROWING

One complete case study to start. More demos will join the collection as they’re built and verified.

↗

02 / HOW I THINK ABOUT QUALITY

Automation with
something to say.

A green check is useful.
Understanding what it proves is better.

01 — INTENT

Start with the risk.

Choose checks that answer a real question. What could break, who would notice, and what evidence would help?

02 — REPEATABILITY

Make the signal clear.

Control test state and reduce noise so a failure is worth investigating. Make the assumptions visible.

03 — EVIDENCE

Make failures useful.

Keep screenshots, traces, and results close to the problem. Help the next person understand what happened.

03 / BEHIND THE LAB

Engineering confidence.
Sharing the evidence.

My focus spans test automation, web and API quality, and AI-assisted engineering. This portfolio makes that work approachable: explore the interaction first, then read the reasoning behind it.

The public demos share outcomes and explanations. Framework source and development tooling are kept separate from this site.

Find me on LinkedIn ↗

LET’S TALK QUALITY

Have a problem
worth testing?

Connect with Tanmay ↗