I build AI agents, chatbots, websites, apps and Web3 that bring in leads and take routine off your team. You work directly with the developer — no agency mark-ups and no broken telephone.
12 languages. 7 years in commercial development. Any task — from an overnight MVP to production under load.
230 EMPLOYEES ON BIOMETRICS✦1,700 CLOSED LEADS✦5,000+ PLAYERS✦+720% VIEWS✦×3 CONVERSION TO SALE✦−80,000 ₽ A MONTH ON ROUTINE✦250 PAYING CUSTOMERS IN A MONTH✦TOP 3 ON YANDEX✦
230 EMPLOYEES ON BIOMETRICS✦1,700 CLOSED LEADS✦5,000+ PLAYERS✦+720% VIEWS✦×3 CONVERSION TO SALE✦−80,000 ₽ A MONTH ON ROUTINE✦250 PAYING CUSTOMERS IN A MONTH✦TOP 3 ON YANDEX✦
I am an engineer who turns "I want this to run by itself" into a working product. I design AI agents that think, search, call APIs and see a task through to the end. I write code in twelve languages — from Python and TypeScript to Solidity and C++. I build everything: from a landing page over a weekend to a distributed system with queues, a vector database and monitoring. If a task can be automated, I will automate it. If it cannot, I will find a way.
agent.py
python · ai agent
online · message me anytime
01
A little about me
Senior developer and AI engineer. I started with classic backend work and 1C, moved into machine learning, and settled somewhere between LLM agents and blockchain. Today I take projects end to end: architecture → code → deployment → support.
I enjoy projects where I have to learn someone else's domain and then make it so a person presses one button and everything happens. Legacy code, research and deadlines do not scare me.
Full-cycle. From the brief and prototype to production, analytics and further iterations.
Speed. An MVP takes days, not months. First demos usually within a week.
Transparency. Repository access, a demo environment and clear reports without fluff.
Support. I do not disappear after delivery — I stay in touch and keep developing the product.
0projects in production
0in commercial development
0programming languages
0average reply time on Telegram
02
What I do
Areas I cover end to end. A project is usually a mix of several.
01flagship
AI agents and multi-agent systems
Agents that actually work: they plan steps, call your APIs, read databases, write to the CRM, make decisions and report back. Function calling, tool use, memory, RAG over your documents, autonomous pipelines and a human in the loop where it matters.
I remove manual routine: connecting CRM, spreadsheets, messengers, email, warehouses and payment systems into a single flow. n8n, Make, custom workers, queues, cron jobs and webhooks.
Telegram, WhatsApp, VK, web widgets. From a simple menu to an AI sales bot with payments, a user account, an admin panel and analytics. TON Mini Apps and Web App interfaces.
Design and code with no middlemen. Next.js / React, animations, 100/100 performance, SEO, CMS, payments, cart, inventory and 1C integration. A landing page that sells rather than just looking pretty.
iOS and Android, native or cross-platform. Publishing to the App Store and Google Play, push notifications, offline mode, biometrics, subscriptions and on-device AI.
Detection, segmentation, OCR, face and licence plate recognition, quality control on production lines, real-time video analytics — in the cloud or right on site.
Fine-tuning and LoRA, distillation, custom datasets, embeddings, recommender systems, forecasting and classification. Deployed on your own servers, with no data leaving your perimeter.
Fine-tune
LoRA
self-hosted
vLLM
09
Backend, infrastructure and 1C
High-load APIs, microservices, Docker, CI/CD, monitoring. Plus 1C integrations and customisation — a rare combination that covers the whole corporate stack.
Docker
PostgreSQL
Redis
1C
10your case
Do not see your task?
This list is not exhaustive — it is simply what people order most often. Tell me what you need: I will dig into it and explain how to solve it.
An employee opens the camera, the system recognises their face, asks them to turn their head to rule out a photo, and the working day begins. No passes, no timesheets.
A mini app that carries a follower from a free session to payment: nurturing tailored to the person, call booking and a request in the CRM — with no manual messaging.
1 700closed leads
Nurturing is chosen from the follower’s own answers
Reading the text…Type: supply contractExtracting the detailsChecking the database
CounterpartyVector LLC✓
Tax ID7704 512 338✓
Amount860 000 ₽✓
Due date12.11.2026✓
CRM · Contracts
№447Vector LLC860 000 ₽
№446Sokolov (sole trader)124 500 ₽
№445Nord LLC2 310 000 ₽
manual entry: 0unclear → to a human−80,000 ₽ / mo on routine
07 / 11
AI agentA company buried in paperwork
An AI agent instead of a secretary: −80,000 ₽ a month
The agent scans incoming documents, pulls the data out of them and files it into the company database by itself. A human only checks the uncertain cases.
Write a couple of lines about your project and I will come back with an approach, a timeline and a budget range. Free, and without calls for the sake of calls.
Catalogue, cart, card payments, promo codes and delivery inside the messenger. An admin panel for managers, order export to 1C and an AI assistant that answers product questions.
An autonomous assistant with access to your tools: it finds data, fills in the CRM, writes to clients and prepares documents. Every step is logged, and anything uncertain goes to a human.
Design and code with no middlemen. Animation on the level of this site, 95+ performance, SEO, analytics and A/B tests. The store comes with a catalogue, payments and inventory.
Tokenomics, a contract in Solidity / Tact / Tolk, tests and simulations, deployment, liquidity, a mint site and a Telegram Mini App. Plus tracker bots and transaction alerts.
Cameras → event detection → instant alerts. Counting people and goods, catching defects on the line, reading plates and documents. Runs in the cloud or on modest hardware on site.
iOS and Android from one codebase or natively. I prepare the store listing, pass review, and wire up push, subscriptions and offline mode. On-device AI if you want it.
I pick the tool for the task, not the task for the tool.
JavaScript
TypeScript
Python
C++
C
C#
PHP
Ruby
1C
Solidity
Tact · TON
Tolk · TON
SQL
Next.js
React
Node.js
Nest.js
Tailwind
GSAP / WebGL
FastAPI
Laravel
PyTorch
TensorFlow
LangChain
LlamaIndex
Claude API
OpenAI API
Ollama / vLLM
YOLO
OpenCV
Whisper
Pinecone / Qdrant
React Native
Flutter
Swift
Kotlin
Hardhat
ethers.js
TON SDK
Web3.js
Docker
PostgreSQL
Redis
MongoDB
RabbitMQ
Nginx
CI/CD
Linux
n8n
Grafana
05
Artificial intelligence
My main focus. Not "bolting ChatGPT on", but designing a system that reliably solves your problem.
An agent with access to your tools: database, CRM, calendar, email, payments, browser. It plans, calls functions, checks itself and escalates to a human. Every step is logged, with protection against hallucinations built into the architecture.
We load your policies, contracts, knowledge base and correspondence, and get an assistant that answers from facts and cites the source. Hybrid search, reranking and chunking tuned to your document types.
Object and defect detection, counting people and goods, OCR of documents and receipts, plate recognition and tracking. Runs in the cloud or on modest hardware on site.
Call and meeting transcription, diarisation, voice bots, speech synthesis, automatic summaries and tagging. Sales call analysis with script scoring.
I collect and label the dataset, fine-tune (LoRA or full), quantise and deploy self-hosted. Your data never reaches vendors and inference costs drop several times over.
Recommender systems, scoring, anti-fraud, demand and churn forecasting. Plus dashboards, so the result is visible and not just felt.
agent_run.py
// example: the agent decides which tool to call
06
How an agent thinks
Pick a task and press Run — I will show step by step what happens inside. This is an illustration of the logic, not a live model run.
agent · idleidle
▶
Press Run to see the chain of reasoning and tool calls.
07
Web3 and blockchain
From token idea to listing and a living community. EVM networks and TON.
/01
Tokens and coins
ERC-20, BEP-20, Jettons on TON. Tokenomics, fees, anti-bot, blacklists, mint and burn, team vesting and presale contracts.
/02
Smart contracts
Solidity, Tact, Tolk. Staking, farming, vesting, escrow, lotteries, multisig. Tests, simulations, gas optimisation and an audit checklist before deployment.
/03
NFT collections
Artwork generation, metadata, IPFS, a mint site with whitelist, royalties, marketplace integrations and dynamic NFTs.
/04
DApps and wallets
Web apps with wallet connection, signing, swaps and charts. TON Connect, WalletConnect, EVM providers.
/05
Telegram Mini Apps
Games, tappers, wallets and stores right inside Telegram. Payments in TON and Stars, referral systems and leaderboards.
I build apps worth shipping: a tidy interface, smooth animation, offline mode and clean architecture inside. I handle the whole path — from mockup to store release and updates.
iOS and Android — native (Swift / Kotlin) or cross-platform (React Native, Flutter)
Publishing — store listing, screenshots, review, updates, analytics
AI inside — assistants, photo recognition, voice input, smart search
No bureaucracy. Five steps from a Telegram message to a working product.
01
Conversation
You message me on Telegram and describe the task in your own words. I ask questions and suggest options. Often it becomes clear right here that it can be done simpler and cheaper.
02
Estimate and plan
I lock down scope, timeline and cost, then split it into stages with clear deliverables — you see progress instead of "almost there".
03
Prototype
A first working version quickly — something to try rather than documentation to read. We correct course early, while it costs nothing.
04
Development
I write, test and demo at every stage. You know what is happening, and the code is yours from day one.
05
Launch and growth
Deployment, monitoring and a guide for your team. After that — support and new features as the product grows.
10
Ways to work together
Three ways to work together. Which one fits we decide in the first conversation, free of charge.
01
Fixed-scope project
When the task is clear and you need a finished result by a deadline.
Fixed estimate and deadline
Split into stages, paid as they complete
A demo at every stage
Warranty fixes after delivery
most popular choice
02
Hourly work
When the work is exploratory and the scope cannot be measured upfront.
Transparent time tracking
You can stop at any point
A good fit for R&D and model experiments
Fast start — literally tomorrow
flexible
03
Support and growth
When the product is already live and needs to keep moving.
Monitoring and incident response
New features in sprints
Model and dependency updates
A monthly report in plain language
long term
I deliberately keep prices off the site: an honest estimate is calculated for the task, not taken from a price list. Message me and I will give you a range in my first reply.
11
Common questions
Do not see your question? Just write. I answer quickly and to the point.
It depends on scope. A simple bot or landing page starts at a few hundred dollars; an AI system or an app is estimated stage by stage. After the first conversation I give a range, after the brief an exact figure. I work with staged prepayments tied to milestones.
A landing page takes 3–7 days. A bot, a week or more. An AI agent or an app, 2–6 weeks depending on complexity. I take urgent work out of turn when it is genuinely feasible — I will not promise the impossible.
I do most of it myself — it is faster and nothing gets lost in translation. On larger projects I bring in people I trust: a designer, a QA engineer, a second backend developer. Responsibility and communication stay with me.
You do, entirely, from the first commit. Repository, access, servers, keys — everything is handed over. No lock-in to my infrastructure and no "support subscription" without which things fall apart.
That is fine, and even convenient: you describe the task in plain language, I translate it into a technical solution and explain the options without jargon. The choice is always yours, with clear pros and cons.
For the first period after delivery I fix everything under warranty. After that it is up to you: one-off changes or monthly support with monitoring and updates. I do not disappear.
If that matters, I deploy models on your own servers and nothing leaves your perimeter. Where cloud is acceptable, I use modes that exclude training on your data and strip personal information before sending.
Those are my favourite. If it is technically possible, I will do it. If not, I will say so straight away and suggest a workaround rather than burning your budget.
// your move
LET’SBUILDSOMETHING GOOD
Describe your task in two sentences — I will pull out the rest with questions. The consultation is free and I reply within 15 minutes.