mchomak.system

Assembling the interface like a production contour

boot_sequence.log
01> loading python backend contour
02> mapping bot scenarios
03> linking payments, api, queues
04> starting ai gateway
05> deploy surface ready
Ramil Kaneevmchomak
en
Telegram / AI / backend / automation

AI, backend andTelegram developmentturnkey

I build Telegram bots, Mini Apps, backend systems, AI modules, parsers and integrations - from MVP to a working product with admin panel, payments and analytics.

Estimate a projectView cases
5 yrs
production engineering
30+
bots, services and integrations
6 lanes
Telegram / AI / Backend / Web / Parsing / Crypto
Python 3.11+FastAPIaiogram 3SQLAlchemy 2.0 asyncPostgreSQLRedisDockerOpenAI SDKAnthropic SDKPyTorchNext.jsReact
Live product contour
online

$ event.message -> scenario.router -> state.commit

Bot to payment pipeline
01
Telegram Bot
02
Payments
03
FastAPI
04
PostgreSQL
05
Redis Queue
06
AI Gateway
Architecture / build / launch / support
kaneevramil7@gmail.comgithub.com/mchomak

What I help with

Product work without chaos: Telegram, AI, backend, web, parsing and crypto

Each direction is framed around a business result: leads, payments, data, automation, interfaces, integrations and launch.

task 01

Telegram bots and Mini Apps

Business task: For businesses that need a familiar Telegram interface for leads, sales, subscriptions, personal accounts and user support.

What can be built

  • bots for leads, stores, subscriptions and payments
  • Mini Apps with catalog, account area and referral mechanics
  • admin panel, notifications, analytics and exports

Stack / integrations

aiogram 3, Telegram Bot API, Telegram Web Apps, PostgreSQL, Redis

You get a working funnel inside Telegram: the user reaches payment, a lead or another target action without a manual operator in the middle.

task 02

AI / ML / neural modules

Business task: For teams that need AI inside a product, support flow, education product, document processing or internal operations.

What can be built

  • AI assistants and workflows on OpenAI / Claude APIs
  • RAG knowledge bases, document processing and classification
  • history, roles, limits, logs and response control

Stack / integrations

OpenAI SDK, Anthropic SDK, PyTorch, FastAPI, PostgreSQL

AI becomes part of the process: it answers using your data, speeds up routine work and avoids manual copying between services.

task 03

Parsing and automation

Business task: For projects that need scheduled data collection, change tracking, table updates, alerts or removal of manual operations.

What can be built

  • data collection from one or several websites
  • scheduled runs, proxies, authorization and anti-bot risk handling
  • export to CSV / Excel / Google Sheets or a database

Stack / integrations

Python asyncio, Playwright, requests/httpx, PostgreSQL, cron/workers

Data arrives on schedule and in the right format, while the team stops spending hours on copying, checking and manual notifications.

task 04

Web services and admin panels

Business task: For teams that need a working web interface: account area, dashboard, lead form, admin panel or internal tool.

What can be built

  • frontend, backend API and user roles
  • forms, tables, statuses, dashboards and analytics
  • payments, integrations, notifications and deployment

Stack / integrations

Next.js, React, FastAPI, PostgreSQL, Docker, Nginx

The result is a clear work surface for users, managers or operators, not a pile of disconnected scripts.

task 05

Crypto / trading / blockchain integrations

Business task: For crypto products, exchangers and trading teams that need exchange APIs, monitoring, signals, payments or on-chain data.

What can be built

  • Bybit / Binance / OKX APIs, DEX and crypto payments
  • price monitoring, trading signals and Telegram alerts
  • trade logging, risk limits and dry-run modes

Stack / integrations

Bybit API, Binance API, Solana / Ethereum, PostgreSQL, Telegram Bot API

Automation watches the market, captures events and helps react faster without constant manual monitoring.

task 06

Backend APIs and databases

Business task: For products that need reliable server-side logic: APIs, data models, queues, statuses, integrations and maintainable deployment.

What can be built

  • FastAPI services, databases, queues and background jobs
  • authorization, roles, webhooks and external APIs
  • logging, Docker deployment and a clear project structure

Stack / integrations

FastAPI, SQLAlchemy 2.0 async, PostgreSQL, Redis, Docker

The server side survives real operations: stores state, handles errors and stays understandable for future development.

Already in practice

Before the estimate - a quick slice of tasks already close to real production projects

This is not the full case archive, but a compact proof of experience across the solution types that most often arrive as requests.

proof 01

Telegram Mini App

Catalog, payments, referrals, admin panel and authorization through Telegram.

Mini Apppaymentsadmin
proof 02

AI service

Structure generation, tests, data processing and product integration.

OpenAI / ClaudeRAGlogs
proof 03

Crypto bot

Monitoring, signals, exchange APIs, risk limits and Telegram alerts.

Bybit APIsignalsalerts
proof 04

Backend system

Database, roles, API, admin panel, statuses and production deployment.

FastAPIPostgreSQLDocker

Project request estimator

Build your project configuration

Choose the solution type, modules and timeline - the site will show a budget range and prepare a request.

How the work goes

After the request, the next steps are clear

The process reduces uncertainty: configuration and clarification first, then MVP boundaries, final estimate, development, launch and support.

Architecturescheme before code
Deliveryiterations and checks
Launchdeployment and stabilization
01

You send the configuration

You choose the solution type, complexity, modules and leave a contact. At this stage the site already shows an initial budget and timeline range.

02

I clarify the details

I quickly review scenarios, integrations, payments, data, existing materials and risks that may affect the estimate.

03

We fix the MVP and work boundaries

We define what goes into the first version, which scenarios are critical and what can wait for the next stage.

04

Final estimate and timeline

After clarification I provide a clear estimate, stages, acceptance criteria and start conditions for the actual scope.

05

Development, testing, launch

I assemble a working product: backend, bot or interface, integrations, scenario checks, deployment and launch.

06

Post-release support

After launch we can add support: bug fixes, small improvements, error control and next-version development.

Cases

Real project showcase: quickly understand the task type and result

The homepage contains a compact selection across work types: Telegram, AI, crypto, backend, Mini App and web. Details, flows and technical decisions live on a separate page.

Each card shows the task, assembled modules and final outcomes. Open the full case for the detailed proof base.

All cases

Budget guide

A short price frame without competing with the estimator

These amounts help understand the budget order. The exact range is better calculated through the configurator above, because modules, timeline and integrations change the scope a lot.

budget 01

Small bot / script

from $105

Simple automation, notifications and basic logic.

budget 02

Business bot / parser / backend module

from $280

Database, roles, integrations, API and scheduled jobs.

budget 03

Mini App / AI service / turnkey system

from $700

Frontend, backend, admin panel, payments, analytics and AI modules.

Final cost depends on the details

Final cost depends on scenarios, design, integrations, payments, data volume and timeline. After launch, support can be connected separately: from $70 / month.

Estimate a project
support and development

FAQ

Questions worth closing before the start

The clearer the scenarios, integrations and constraints are at the start, the fewer surprises appear during development.

Can I start without a ready technical specification?+

Yes. It is enough to describe the task, users, desired result and constraints. I will help shape the MVP, scenarios, integrations and first-version boundaries.

Why is the calculator estimate preliminary?+

The calculator cannot see details such as design, existing code quality, API complexity, payments, data volume, deadlines and hidden edge cases. The final cost is fixed after a short task review.

Can we start with an MVP?+

Yes. Usually an MVP fixes one main scenario, a minimal set of integrations and a clear hypothesis check. After launch, roles, payments, admin panel and analytics can expand.

Do you build Telegram Mini Apps?+

Yes. I can build a Mini App with Telegram initData authorization, catalog, account area, payments, referrals, admin panel and backend API.

Can AI be added to an existing project?+

Yes, if the project can be deployed or has a clear API. Possible options include an AI assistant, RAG knowledge base, document processing, text classification, content generation and history logging.

Do you work with payments, Telegram Stars and crypto?+

Yes. YooKassa, Telegram Stars, CryptoBot, crypto payments and custom payment flows are possible. Webhooks, statuses, repeated payments and admin operations are checked separately.

Can you improve an existing project?+

Yes, if there is access to code, environment and data for testing. I start with diagnostics: dependencies, architecture, database, deployment and change risks.

What happens after I send a request?+

I review the selected configuration, ask clarifying questions, suggest MVP boundaries and return with a final budget range, timeline and stages after a short discussion.

Next step

Describe the task - I will return with architecture, timeline and budget range.

The fastest way to start is the estimator: it collects project type, modules, timeline and contact into one request. If you have little input, you can write directly in Telegram.

Estimate a projectWrite in Telegram
@McHomak15kaneevramil7@gmail.comgithub.com/mchomak