Mykyta Stepanov
Offer Mykyta work on your next project.
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271 USD XEMO TRADING AI BOT - Automated funnel and trading AI signals
Bot DevelopmentDevelopment of an automated B2C funnel and AI signals. The project demonstrates complex integration of a Telegram bot with the broker's API through secure webhooks (postbacks) and management of phased onboarding.
Architecture and Stack:
Backend: Python 3.12, Aiogram 3.25. (Telegram API), FastAPI (API & Webhooks).
… Database: PostgreSQL (Async) + SQLAlchemy (Async ORM).
State & Locales: MemoryStorage (FSM), aiogram_i18n (Fluent .ftl files).
Deploy: Ubuntu (Linux), systemd.
Key Modules:
Postback Receiver: Secure FastAPI endpoint for instant asynchronous processing of statuses from the broker (registration, deposit) and updating user rights.
Smart User Flow: Automatic generation of affiliate deep-links (with tracking sub_id1 via TG ID) and "Smart Guardian" module for checking mandatory subscriptions.
Dynamic Media Manager: "Hot" replacement system for visual content and texts depending on the selected localization (RU/EN). By default, a forced English start is implemented for global reach.
Clean Chat UX: Automatic deletion of previous messages/instructions when transitioning to a new stage in the funnel (by saving message IDs in FSM).
Implementation Features:
The architecture is built on the principle of separating logic (separate Telegram client, separate REST API receiver). A strict level of security is implemented: access to the API is protected by a custom Security Key to prevent financial transaction forgery (fake deposits). A custom Maintenance Middleware is written for maintenance mode - seamless bot updates without system errors for the end user. Database scalability is ensured by using a pool of asynchronous sessions.
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271 USD Telegram Web App Store | Python (FastAPI) + Vanilla JS
Bot DevelopmentDevelopment of an E-commerce application (TWA) with Single Page Application (SPA) architecture. The project demonstrates the capabilities of creating high-performance interfaces within Telegram.
Architecture and Stack:
Backend: Python 3.12, FastAPI (API & Webhooks), Aiogram 3.15.
… Database: PostgreSQL (Async) + SQLAlchemy 2.0.
Frontend: HTML5/CSS3 + Vanilla JS (ES6+). GPU-accelerated animations.
Config: Pydantic v2 for strict typing and data validation.
Key Modules:
Smart Gallery: Custom slider with Lazy Loading and CSS Scroll Snap.
Real-time Filters: Client-side filtering (JS) for instant response.
State Management: Cart and session state stored locally, reducing server load.
Payments: Integration of Telegram Payments API with transaction status handling.
Implementation Features:
Code written according to Clean Architecture principles.
Implemented the "No Backtracking" principle — scalable database models (JSON fields) and centralized config.
UI in Glassmorphism style with native navigation (Bottom Sheets).
Reviews and compliments on completed projects 1
24 February
271 USD
Bot for Telegram
Quality
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I am very satisfied with Mykyta's work! He is communicative, always in touch, and most importantly, responsible! He performed the work flawlessly. All questions and requests that arose during the project were addressed quickly and efficiently. His effort and persistence in the work are evident. I highly recommend this performer to everyone and will reach out again!
Activity
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