Senior QA Analyst · Ahmedabad, Gujarat, India
I break things
so your users
never have to.
I'm Dev Panchal, a Senior QA Analyst, and I lead more than just test cases. I've built a team of AI agents that test alongside me, feed into product decisions, and keep marketing's day-to-day moving. I point them at the work, they pick it up and wrap it up.
A little about my path
Two and a half years ago, I found bugs by hand. Today, I lead a team of AI agents that find them with me. I'm a Senior QA Analyst at POSIMYTH Innovations in Ahmedabad, Gujarat, India, testing SaaS products, WordPress sites, and Shopify storefronts, and I stay involved in Product & Marketing too, because I've never believed quality ends at the bug tracker.
Two years of finding what others missed
Our 2 core SaaS products, plus server APIs, WordPress sites and Shopify storefronts along the way, all put through their paces before a single user ever saw a bug.
SaaS QA, Start to Finish
This is where I've spent most of my two years, running full test cycles on SaaS products, from first test case to final sign-off, with nothing let through I wouldn't stand behind.
Where Bugs Hide First
Server-side logic and REST APIs, tested with Postman until every contract holds, because most bugs start here, long before a user sees a screen.
WordPress First, Shopify Too
WordPress is where I test end-to-end, day in and day out. Shopify I know well enough to navigate a storefront and catch what shouldn't ship.
Six months in, already raising the bar
The step up from finding bugs to deciding how they get found in the first place.
Playwright Automation, Built to Scale
Took testing from purely manual to automated with Playwright, turning repetitive regression checks into scripts that run themselves and freeing up time for the testing that actually needs a human eye.
Workflow Ownership
Run QA workflows end-to-end across ClickUp, Asana, and Fluent Boards, from ticket to sign-off. Nothing slips through.
Team Communication
Keep dev, product, and QA in sync over Slack and GitHub, catching issues in conversation before they ever become tickets.
I test with AI. I test AI, too.
Building the agents that test alongside me, not replacing the QA instinct, multiplying it.
Custom QA & Testing Agents
Built agents dedicated to QA and testing workflows, scoping test cases, flagging regressions, and doing the first pass so I can spend my judgment where it matters most.
AI-Assisted Test Generation
Use ChatGPT and Cursor to draft and maintain test cases faster, without losing the human review that keeps them sharp.
Faster Feedback Loops
Cut the time between "something's off" and "here's exactly what and why" by putting AI in the QA loop from day one.
Patterns, not just bugs
Every ticket tells a story. I read them across projects, not just one at a time.
Cross-Project Defect Patterns
Tracking 10+ projects across ClickUp, Asana, and Fluent Boards surfaces the same failure modes showing up in different places, so fixes get applied upstream, not repeated downstream.
AI-Assisted Triage
Lean on Claude and ChatGPT to spot patterns in bug reports faster than a manual scan ever could.
Sharper Reporting
Turn raw ticket noise into reporting that tells the team what's actually worth fixing first.
QA insight, fed straight into product calls
I don't own the roadmap, but I'm in the room, making sure what QA sees shapes what gets built next.
Working Hand-in-Hand with Product
Partner closely with the product team on our primary SaaS product, turning QA findings and user feedback into concrete input for feature decisions, without owning the roadmap myself.
Launch Readiness
Sign off on features from a quality lens before they reach the roadmap's "done" column, so launches don't come with surprises.
Feedback Loops That Close
Make sure bugs and user pain points don't just get logged. They get seen by the person planning what's next.
Where quality meets messaging
I also work on the marketing side of our primary SaaS product, because a great feature poorly explained still fails the user.
Messaging QA
Check that what marketing promises matches exactly what the product delivers. I know the product's edges better than most, so I catch the gaps before users do.
Launch Support
Support marketing efforts around releases, validating claims, screenshots, and feature descriptions before they go out.
Product Knowledge, Applied
Bring hands-on QA knowledge of the product into marketing conversations, so positioning stays honest and accurate.