How Ritu Maurya Leveraged AI and Direct Outreach to Skyrocket Her Salary from 10 LPA to 80 LPA

Ritu Maurya has a way of making the numbers work: she's put her salary on an upswing from 10 LPA to 80 LPA with the help of AI and some well-placed outreach. The way she does it is by putting together projects that are in line with a role to make her case before you even sit down for an interview, then honing in on the right companies and using feedback to improve. It's about showing you can solve problems, not just what your resume says.

You don’t have to look far to see why people are talking about Ritu Maurya’s Instagram post. With all the talk of hiring freezes and layoffs, her claim of an 80 LPA remote job in a year’s time is hard to ignore. If you want to do the same, her playbook is simple: use AI, let your portfolio do the talking, and get in front of the ones who make the decisions.

Why this method is trending with remote job seekers

Maurya will tell you that dropping a resume in a portal doesn’t cut it when you’re up against hundreds of other applicants. What she did was build a project that speaks to the job and put it where a hiring manager can see it, proving your worth in advance.

It comes down to being timely and on point. Make a solution for a company’s particular needs and you take the risk out of the equation for them, and you stand out in the process.

The core idea: prove it before you pitch it

Rather than go after every opening, Maurya zeroed in on a place she really wanted to be. She would read through a job posting to get a feel for what the organisation is after, even if they weren’t in the market for new hires at the time.

Then she’d put it in front of ChatGPT to be analysed and come up with a project that makes sense for the position. In her view, the tool is good for laying out the plan so you aren’t working with a blank slate.

From brief to build with AI support

For the actual making of it, she has been using Emergent.sh. It’s an AI-driven platform that, as she puts it, can handle the planning, the code, the bugs and the deployment. You can put out a working demo without having to be a technical wizard.

But you can’t just call it a day on the first pass. She made sure to put the project through a few rounds of fine-tuning until it was as polished as it was practical.

Get it seen: targeted outreach beats waiting

Once the project is done, it’s time to put it out there. Maurya will send it over to a hiring manager with a note on how it fits a challenge at their end.

She’ll also make a quick video for LinkedIn and pin it to her page. That way a recruiter has something to watch instead of wading through a CV.

If you want to put this into practice, here is a way to do it:

– Have a company and a role in mind

– Let ChatGPT write up a project for you

– Put together a prototype on Emergent.sh

– Keep at it until it’s a no-brainer

– Make a respectful head to a hiring manager with it

– Put a demo on LinkedIn and pin it

Adapting the approach across roles

And no, you don’t have to be an engineer for this. It’s the same idea no matter what you do: pick a company, get to know what they need, and put together something that solves an issue for them. If you’re not a coder, there are AI tools out there to help you map out a feature or put some numbers to an experiment.

What you’re after is to turn your abilities into something you can point to. A well-made project, even a small one, says more about your drive and how you think than a piece of paper ever could.

What hiring managers see

Maurya is looking to put three things on display: initiative, relevance and the ability to get it done. When a project aligns with the job posting, it means you’ve done your homework. A no-nonsense demo proves you can deliver. And a straight-to-the-point message to a hiring manager shows you don’t just sit back and wait.

Those are the kinds of details that can put you in front of someone with an identical resume.

Perfection is overrated; iteration is not

You’ll see a lot of people call it quits after the first pass. Maurya would have you view that as where you begin. Go through a few rounds of changes and the work becomes more compelling. In a remote world where you have to win trust fast, that kind of finish line is what separates a “we’ll be in touch” from an actual interview.

Some ground rules

Don’t expect a sure thing. The fact that she made the leap from 10 LPA to 80 is her story, not a given. Use this as a way to be seen, not as a magic bullet.

Follow two rules:

– Make sure you’re clear on the problem you fixed

– Keep your outreach to the point and polite

The case for doing it now

In a tighter market, having something to show for your trouble can make all the difference. Maurya has been making waves because she’s put more weight on the quality of her proof than on churning out applications – and that’s what a lot of remote teams are after.

If you want to be in the 80 LPA bracket, you have to back it up. A custom-built project will do that for you.

In short

Put it all together – the AI, the projects, the networking – and you can stand out. It comes down to: figure out the role, make something for it, put some work in, and let the right people know.

*Note: We’re going by what was put forward in a social media post here. We haven’t been able to check the facts for ourselves, so take this with a grain of salt.*