BEFORE THE JOB SEARCH PROBLEM
My career began with an engineering background and strong early professional experience.
I eventually built three entrepreneurial ventures. Two failed. One became successful before the COVID-19 pandemic forced me to shut down my hyperlocal delivery business.
Those experiences taught me something that would later become central to READ BY HUMAN: careers are rarely linear, and experience is built through both success and failure.
THEN I LANDED THE KIND OF JOB I THOUGHT WOULD CHANGE EVERYTHING
Eventually, I joined a US-based company while working remotely from India, earning more than $100,000 a year.
For two years, things were going well.
Then the company's business model changed.
I was laid off along with other members of the team.
Suddenly, I was back in the job market.
I KNEW HOW HIRING WORKED. I HAD TRAINED THOUSANDS OF PEOPLE.
Through my work in education and training, I had worked with training and placement teams, HR teams and other departments.
I had trained 5,500+ students and professionals from around the world, helping them develop skills and strategies to pursue better career opportunities.
Before COVID, I had spent years helping people prepare for careers.
I understood resumes. I understood employers. I understood training and upskilling. I understood how organizations thought about talent.
But when I became the candidate myself, that knowledge wasn't translating into results.
THE MORE EXPERIENCE I GAINED, THE HARDER THE JOB SEARCH SEEMED.
For roughly three years, I struggled to find a good, well-paying opportunity.
I tried referrals. Networking. Resume optimization. Different application strategies. Career advice. Consulting. And eventually, AI-assisted approaches.
I even completed an MBA during this period.
But the problem remained.
The contradiction was difficult to ignore:
I had more experience, more skills, more education and more exposure to employers—and yet finding the right opportunity seemed to become harder.
SO I STOPPED LOOKING FOR ANOTHER JOB-SEARCH TIP.
I started looking for a system.
If everyone could use AI to create polished resumes, cover letters and applications, what actually differentiated one experienced professional from another?
What made someone credible?
What made their experience understandable?
What made someone willing to refer them?
What made a hiring manager remember them?
And how could AI be used without replacing the human signal underneath?
I BUILT THE SYSTEM FOR MYSELF FIRST.
I began changing the way I approached the job search.
Instead of treating it as a race to submit more applications, I focused on:
I started treating the job search as a system rather than a sequence of applications.
That became the Human Signal System.
AFTER THE SYSTEM
The system changed the way I approached my own career search. It eventually led to remote work and consulting opportunities, and I began testing parts of the approach with a small cohort of learners.
Their feedback and outcomes helped me refine the framework further.
The result was READ BY HUMAN.
I BUILT IT BECAUSE I NEEDED IT FIRST.
READ BY HUMAN isn't built around a secret resume trick or a magic AI prompt.
AI can help you say it. It cannot supply what you did.
Your experience is the raw material.
Your evidence is the proof.
Your relationships create human connection.
AI can help you research, organize, analyze and communicate those things—but it cannot manufacture them.
I built the system I wish I had when I was applying to thousands of jobs and couldn't figure out why nothing was working.
Now I'm sharing it with other professionals facing the same problem.