20+ years fixing real gear grinding problems on the shop floor. I show experienced professionals how to use simple AI at work — and earn extra without leaving their job.
Free to join · No coding needed
5,000+
gear projects delivered
Who this is for
15–20 years in the field. You can see the game changing.
You hear about AI daily but have never used it to grow your career.
Something extra that fits around the job you already have.
Why you feel stuck
Why AI changes everything
Tools are easy to learn. Knowing which problem to solve is not — you already do.
Do the work of a small team and become hard to replace.
Remote roles, consulting and advisory work want AI-ready experience.
Turn what you know into services people already pay for.
The mentor
Twenty years later I have led more than 5,000 gear development projects and mentored engineers and operators across India.
One lesson stayed with me: one salary is one point of failure. So I built extra income around the job I already had.
Now I help experienced professionals do the same with AI — the fastest leverage I have seen in two decades.
Gear grinding technologies
What each process does, where it wins, and the levers that move quality, cycle time and cost per part.
Continuous threaded-wheel grinding — the volume workhorse.
A multi-start worm wheel meshes with the gear and grinds several teeth at once. Shortest cycle time of any gear grinding process.
Single-index grinding with a dressed profile wheel — the accuracy choice.
A disc wheel grinds one tooth gap at a time. Slower, but handles large modules, internal gears and full topological flank changes.
Rough by generation, finish by form — in one clamping.
Heavy stock comes off fast in generation mode; the finishing pass runs in form mode. Speed plus precision, with one setup removed.
Cubic boron nitride wheels — cool cutting, long life, dress-free.
CBN pulls heat into the chip instead of the part, so grinding burn risk drops sharply on case-hardened gears.
Gear grinding expertise
Shorter cycle time through stock, feed and shifting strategy
Grinding burn removed with coolant, dressing and spec tuning
Longer wheel life and lower cost per part
Profile and lead changes to reduce gear noise (NVH)
Process capability control on gear checker data (Cp/Cpk)
Fixture and clamping fixes for runout control
AI + manufacturing
I did not leave engineering to chase AI. I used AI on real plant problems — then started teaching others to do it in their own field.
01
The problem
Gear checker reports, dressing logs, burn rejections. Every plant had the data and still solved problems by trial and error.
02
The shift
I used AI to read Cp/Cpk trends, draft reports and speed up root-cause analysis on burn and profile deviation. No data science degree.
03
The result
AI cannot tell you why a lead error shows up after dressing. Twenty years can. Together you get answers in minutes, not weeks.
04
The mentorship
Quality, maintenance, design or production — the playbook is the same: use your domain, add simple AI, turn it into extra income.
“Your 15–20 years of experience is not what AI replaces. It is the one thing AI cannot download.”
Inside the VIP community
Weekly AI lessons in plain language — no coding
Real examples from engineering, operations and management
Live Q&A sessions and prompt walkthroughs
Second-income playbooks: consulting, freelancing, products
Job market and layoff-proofing updates
A peer group of senior professionals like you
The learning roadmap
The few tools and habits that cover most professional work.
Win visible time back at work so your value goes up first.
Turn 20 years of judgement into an offer someone will pay for.
Find your first clients while your salary stays intact.
A ₹2 lakh/month second income is the goal we work towards in the premium mentorship. It is not a guarantee — results depend on your effort and market.
Member stories
“I cut a weekly report from six hours to forty minutes. My manager noticed in a month.”
“First paid consulting project in week nine. Still in my full-time role.”
“For the first time in years I feel ahead of the change, not behind it.”
Shared with permission. Individual results vary.
FAQ
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