Corporate data must never leave your storage. Not for prototyping. Not for a quick test. Not ever.
who I am
Solo specialist. 20 years of experience.
Information optimization of business processes. Applying neural networks to real business since 2015.
MethodologyIntegrationLocal LLM deployment
what I do
Analyze your current business processes.
Propose and design their optimization.
Implement a neural network solution tailored to your business.
how I work
Results have a number.
Every outcome is expressed in clear, measurable terms — quantitative and qualitative.
Hype is not a reason.
Not every problem needs an LLM. Sometimes a well-crafted script does the job better, faster, and cheaper. Knowing the difference is the actual value.
Everything is documented.
The full functionality of any delivered solution is described in writing. No black boxes.
what I don't do
No cloud-based AI solutions.
Please don't ask. This is a hard line.
No portfolio.
I sign the strictest NDA you've seen and never talk about my work. If needed, we test on dummy data — your real data never enters the picture.
No deposit.
You sign a contract only after the first test. You see the result before you commit.
why local only
You can't verify what happens to your data.
There is no reliable way to confirm that a cloud model uses your data only for processing — and not for its own training. Even if that condition was written into your API agreement.
Cloud models have amnesia. And mood swings.
You've seen the disclaimer at the bottom of every AI chat: "I'm an AI and may make mistakes." Working with cloud means embedding that uncertainty into your processes — and it can be different every single day.
Cost control.
Cloud APIs bill per token. At scale, costs become unpredictable. A local model is fixed infrastructure — no surprises on the invoice.
Describe your task in any words.
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