Cloudon: Backend & Telegram Bot
Vince Swu
Cloudon
Building the backend and Telegram bot behind an AI-powered cloud storage platform
Role: Backend Developer / Telegram Bot Developer
Focus: Backend Architecture, API Development, Telegram Bot, Cloud Storage, AI Integration
Overview
Cloudon is a Telegram-first cloud storage platform that lets users upload, manage, and interact with their files through Telegram and the web.
I built the backend and Telegram bot from the ground up, creating the core systems that connect the user interface, cloud storage, file processing, and AI functionality.
The Challenge
Cloudon needed a backend capable of handling more than basic CRUD operations.
The system had to coordinate:
Telegram interactions
File uploads and downloads
Cloud storage
User accounts and permissions
AI-powered file processing
Background operations
API communication
The main challenge was turning these separate services into one reliable workflow that users could access directly through Telegram.
What I Built
Backend
Designed and built the backend that powers Cloudon's core functionality.
I implemented the application logic and APIs responsible for managing users, files, storage operations, and communication between the different parts of the platform.
The backend serves as the central layer connecting Cloudon's services together.
Telegram Bot
Built the Telegram bot from scratch and made it a first-class interface for the platform.
Users can interact with their cloud storage directly through Telegram, allowing common file operations without needing to open the web application.
I implemented the bot's interaction flows, command handling, user actions, and communication with the backend.
Cloud Storage
Integrated the backend with Cloudon's storage infrastructure and built the workflows required to manage files remotely.
This allowed Telegram users to upload, retrieve, and manage their files through the bot.
AI Workflows
Built the backend workflows required for AI-powered document functionality.
This included connecting uploaded files to processing pipelines so the platform could perform operations such as document analysis and summarization.
Architecture
I structured the Telegram bot as an interface over the backend rather than embedding the application's business logic directly into bot handlers.
This separation allowed the backend to remain reusable across different clients while keeping the Telegram-specific interaction layer isolated.
The result was a cleaner architecture where:
Telegram → Backend API → Application Logic → Storage / AI Services
Result
I delivered the complete backend and Telegram bot, providing Cloudon with the infrastructure required to operate its Telegram-first cloud storage experience.
The system connected Telegram, cloud storage, file management, and AI functionality into a single backend-driven workflow.
My Responsibilities
Backend
Designed and built the backend
Developed APIs and application logic
Implemented file-management workflows
Integrated cloud storage
Implemented authentication and permissions
Built service integrations
Telegram Bot
Built the bot from scratch
Designed Telegram interaction flows
Implemented commands and actions
Connected Telegram to backend services
Implemented file-management interactions
AI
Built AI-related backend workflows
Connected documents to processing pipelines
Implemented document analysis and summarization flows
Stack
Backend: Python, APIs, async services
Interface: Telegram Bot API
Storage: Cloud object storage
AI: AI-powered document processing
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Posted Aug 9, 2026
Built Cloudon’s backend and Telegram bot from scratch, powering cloud storage, file management, AI workflows, and the platform’s core user interactions.
