Andrii Domashchenko
Offer Andrii work on your next project.
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Offer work 
Irpen,
Ukraine
26 minutes back
available for hire
17 Safes completed
3 months 28 days back
7 clients
24 proposals made
age 29 years
on the service 1 year
Rating
Language proficiency level
Українська: fluent
English: upper-intermediate
Skills and abilities
Programming
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AI & Machine Learning
from 11 USD for hour
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Bot Development
from 5 USD for hour
- Data Parsing
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Databases & SQL
from 11 USD for hour
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Desktop Apps
from 11 USD for hour
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HTML & CSS
from 5 USD for hour
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Javascript and Typescript
from 45 USD for project
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Python
from 11 USD for hour
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Web Programming
from 11 USD for hour
Design & art
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AI Art
from 11 USD for project
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Icons & Pixel Graphics
from 11 USD for project
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Illustrations & Drawings
from 23 USD for project
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Logo Design
from 11 USD for project
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Mobile Apps Design
from 11 USD for hour
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Web Design
from 11 USD for hour
Services
Photo, Audio & Video
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AI Speech & Audio Generation
from 23 USD for project
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Animation
from 23 USD for project
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Audio & Video Editing
from 23 USD for project
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Video Creation by Artificial Intelligence
from 23 USD for project
Administration
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Windows
from 5 USD for hour
Writing
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AI Content Creation
from 11 USD for project
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Articles & Blog Posts
from 11 USD for project
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Copywriting
from 23 USD for project
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Naming & Slogans
from 23 USD for project
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Poems, Songs & Prose
from 11 USD for project
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Script Writing
from 11 USD for project
Portfolio
- All works 24
- Python 5
- Javascript and Typescript 1
- Web Programming 7
- Data Parsing 2
- Bot Development 7
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Workout Dashboard
Web Programming
Workout Dashboard — Django admin panel for managing workouts and videos
Workout Dashboard is an administrative panel for a mobile fitness application that allows centralized management of workouts, categories, exercises, and video content. The system is integrated with Cloudflare R2 for video storage and synchronizes prepared content with the mobile application.
… The main task of the project is to simplify the addition of new workouts to the mobile application without manual work with Excel spreadsheets, file names, video archives, and complex data structures. The administrator receives a convenient dashboard where categories can be created, exercises added, videos attached, descriptions, timings, difficulty levels, and other parameters configured.
What has been implemented
- Developed a custom admin panel on Django
- Implemented management of workout categories
- Added modules for creating and editing workouts
- Implemented a database of exercises with descriptions, parameters, and category links
- Configured video content management through Cloudflare R2
- Added the ability to pull videos from the R2 bucket
- Implemented video linking to exercises and workouts
- Added an archive for hidden or inactive elements
- Implemented a statistics panel with the number of categories, workouts, exercises, and videos
- Added quick actions for navigating to main sections
- Prepared data structure for transfer to the mobile fitness application
- Implemented logic for activating/deactivating content
- Processed a scenario where part of the content is hidden from the mobile application
Main functionality
The administrator can create workout categories, add workouts to them, form a list of exercises, attach videos from Cloudflare R2, edit descriptions, sorting, activity, and additional parameters.
After filling in the data in the dashboard, the content becomes ready for use in the mobile fitness application. This allows for quick updates to the workout library without direct intervention in the application code or manual editing of complex tables.
Sections of the admin panel
- Workout catalog — management of categories, workouts, and exercises
- Media library — working with videos from Cloudflare R2
- Archive — hidden or inactive content
- Access — managing administrative access
- Dashboard — overall statistics on content
- Quick actions — quick navigation to key modules
Technologies
Backend: Python, Django, Django Admin / Custom Admin, Django ORM
Storage: Cloudflare R2, S3-compatible storage
Database: PostgreSQL / SQLite depending on the environment
Frontend of the admin panel: custom dashboard interface
Integrations: Cloudflare R2, mobile app content API
DevOps: Docker, environment-based configuration
Result
As a result, a convenient content management system for the mobile fitness application was created. The dashboard eliminated the dependency on manual synchronization of Excel spreadsheets and video files, reduced the risk of errors in names and structures, and allowed for quick addition of new workouts, exercises, and videos through a single administrative panel.
The project became an internal tool for scaling fitness content: the administrator can manage the entire library of workouts, and the mobile application receives already structured and ready-to-display data.
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Website for a cosmetology studio
Javascript and Typescript
A fully functional website for a premium cosmetology studio with online booking, multilingual support, a service catalog, customer reviews, and a custom administrative panel.
The project consists of a Django REST API on the backend and a React + TypeScript SPA on the frontend. The main goal of the site is to present the studio's services, increase customer trust, and simplify the booking process for procedures.
… What has been implemented:
- Developed the backend on Django + Django REST Framework
- Created a REST API for services, categories, specialists, reviews, bookings, and contact forms
- Implemented online booking for procedures through a form on the site
- Added Telegram notifications for the administrator about new requests
- Configured multilingual support for the site in 7 languages
- Implemented the frontend on React + TypeScript + Vite
- Created a responsive UI using Tailwind CSS
- Added animations using Framer Motion
- Implemented pages: home, services, detailed service page, about the studio, booking, contacts, reviews
- Configured forms with validation using React Hook Form + Zod
- Created a custom admin panel based on django-unfold
- Added a booking calendar in the admin panel
- Set up a Docker environment for local project launch
Functionality
Users can view the studio's services, filter them by categories, open detailed pages for each procedure, view specialists, read reviews, change the site language, and submit a booking request.
Administrators can manage services, categories, specialists, reviews, requests, contact messages, and general site settings through a convenient admin panel.
Technologies
Backend: Python, Django, Django REST Framework, django-unfold, django-filter, PostgreSQL, SQLite, Telegram Bot API
Frontend: React, TypeScript, Vite, Tailwind CSS, Framer Motion, React Router, React Hook Form, Zod, i18next
DevOps: Docker, Docker Compose, Nginx-ready architecture
Integrations: Telegram notifications, multilingual content via JSONField
Result
As a result, a modern, fast, and user-friendly website for the beauty business was created, which not only presents the studio but also serves as a tool for attracting clients and collecting requests. The project has a scalable architecture, a separate API, a responsive interface, multilingual support, and a ready administrative part for managing content without the involvement of a developer.
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Web interface for Circular Economy
Web Programming
Developed the frontend part as a Next.js (React) web application, which acts as a client to the backend: displays data, builds charts, guides the user through scenarios/forms, and delivers results in the form of reports (including PDF). The stack is tailored for tasks involving “many UIs, many states, much analytics” — without lags and without pain.
Technologies and libraries (used)
… Next.js 14 + React 18 — the foundation of the SPA/SSR application, standard scripts dev/build/start/lint.
UI/Design System:
Chakra UI (+ emotion/*) for quick assembly of a neat interface and components.
PrimeReact for ready-made complex components (tables/forms/widgets).
API layer: Axios for requests to the backend + centralized handling of responses/errors.
State management: Zustand for state management (lightweight, fast, without “Redux epic”).
Multilingualism (i18n): i18next + next-i18next + react-i18next, as well as utilities for determining/matching locale.
Visualization and analytics:
Chart.js + react-chartjs-2 + chartjs-plugin-datalabels for charts and value labels.
CanvasJS React Charts as an additional tool for charts/diagrams.
PDF / Export
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Admin Panel for warming up Gmail accounts
Web Programming
Developed a Django admin panel for managing the process of warming up Gmail accounts through profiles from an external profile manager. The system centralizes the creation/configuration of profiles, launching warm-ups according to templates, monitoring progress, and logging actions — to ensure accounts are "warmed up" consistently.
Key functionality
… Dashboard: overview of all profiles + statistics and graphs, with a focus on operational control.
Profile Management: creation/editing of profiles and monitoring of warm-up.
Warmup Templates: ready-made scenarios for 7/30 days + custom warm-up plans.
Activity Logs: detailed logs of all actions, filtering, and exporting (convenient for debugging/auditing).
Pool Management: management of resource pools for warming up (sites, contacts, email templates).
Alerts: notifications about captcha / 2FA / errors (real-time response).
REST API: endpoints for integrations and obtaining statistics/logs.
Google Sheets API — automatic data export/synchronization (logs, statuses, warm-up statistics) into spreadsheets for reporting and control.
Telegram bot — receives information about logs and warm-up status (health/status), and allows for quick responses without accessing the admin panel.
The configuration includes settings for alerts for Telegram and Google Sheets.
Automation through Celery: scheduling and executing tasks in the background.
Automated tasks (scheduler)
Daily Warmup (09:00) — creation/scheduling of warm-up sessions for active profiles.
Health Check (every 30 minutes) — monitoring the status of profiles and generating alerts.
Cleanup (02:00) — cleaning logs older than 30 days.
Technologies used
Backend: Django 5.0.2
DB: PostgreSQL
Background jobs: Celery + Redis
Real-time database/infrastructure: Django Channels (WebSocket support)
Deploy: Docker Compose + Nginx reverse proxy; services web/db/redis/celery/celery-beat/nginx
Aiogram
asyncio
Google Sheets API, Telegram Bot API
My contribution to the project
Implemented the main functionality of the admin panel: profiles, warm-up templates, logs, resource pools, alerts.
Configured background tasks (Celery worker + Celery Beat) and the schedule for automations.
Set up the deployment infrastructure using Docker Compose + Nginx.
Added REST API for obtaining statistics and the latest logs.
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Django Admin Panel channels messages parser
Web Programming
Web application and admin panel interface for Telegram Parser
User main page
The main part of the site is a public interface for viewing messages collected from Telegram channels through authorized sessions.
… Main page features:
Responsive design with a pleasant background gradient.
Search for messages or go to the latest ones via the "View Messages" button.
Filtering by categories — interactive filter buttons for selection (e.g., FARMING, NFT, PSYCHOLOGY, BUSINESS, etc.).
Displaying new messages in real-time after successful parsing.
Frontend implemented in HTML + CSS (or Bootstrap) JS, with support for Ukrainian and English languages.
Admin panel (accessible to authorized users)
This is a secure part of the project where the administrator can:
- Manage Telegram channels (add, edit, delete)
- Create and assign categories for content
- View, filter, and modify parsed messages
- Log out of the admin panel or return to the main page
*** Main components:
- Sidebar with icons: Admin Panel, Channels, Categories, Messages
- Tables with actions: View, Edit, Delete
- Search through records, pagination, creating new items (e.g., "Create category")
- The category structure allows easy classification of content for convenient access.
- Integration with Telegram
All messages sent by the bot or collected via Telethon are automatically saved to the database and appear in the web interface.
This allows the site to be used as a tool for analytics or monitoring content from Telegram.
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Platform — system for managing internal processes
Python
Stack:
Python, Django, PostgreSQL, Redis, Celery, Docker, Nginx, REST API
Project description:
… Enterprise platform for managing the internal processes of the company. The system integrates user management, project management, document management, and operational data.
The platform is designed to centralize internal processes and enhance management transparency.
What has been implemented:
user management system
project management module
roles and access system
document management
centralized API
scalable server architecture
My responsibilities:
backend development
database structure design
implementation of REST API
performance optimization
server infrastructure setup
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Corporate LMS on professional safety
Web Programming
An adaptive web system has been developed for the TRAINING AND PRODUCTION CENTER. The platform automates the entire training cycle: company and user registration, course completion, video lessons, testing, and reports.
Key tasks
Creating a three-level authorization (admin, OП engineer, listener) with access rights differentiation
… Development of an admin module for:
importing listeners from Excel (batch registration of up to 200 people)
managing courses and video materials
setting up tests and automatic grading
Implementing an interface for the OП engineer to add students, link them to companies, monitor progress
Creating a student account with a course catalog, video player, and test sessions
Configuring SMTP mailing for reminders and test results
Building a reporting module with progress dashboards and statistics
Technologies
Backend: Django Python
Database: PostgreSQL
Frontend: HTML5, CSS3, JavaScript, Bootstrap 5, AJAX
Server: Gunicorn + Nginx
Integrations: SMTP (Gmail), Excel import
Achievements
Automated the group registration process — importing up to 200 listeners in seconds
Ensured 99.9% system availability in production (Gunicorn + Nginx)
Reduced course administration time by 70% thanks to intuitive UI/UX
Increased listener engagement: average course completion rate – 95%
Implemented a flexible architecture that allows scaling the system for several dozen companies
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Circular Economy Sustainability Tools Backend
Python
The Tool Backend has been developed - a backend for assessing the environmental impact of products - it is a server application for evaluating the circular economy. The system provides management of directories (categories/products/directives), multi-step questionnaires (PA/SA tools), data import from XLSX, and a calculation module that compares Linear vs Circular scenarios and shows energy/CO₂ savings.
What has been implemented
… Database structure under the domain: Categories, Products, Directives, Stages Questions.
Admin Panel with enhanced UX (tabbed interface for Products)
XLSX Import/Export for bulk loading/unloading (API + admin panel), including options update_existing and skip_errors.
REST API (50+ endpoints) for integration with the frontend and external services.
Multi-step questions, eligible-check, report creation/saving/processing.
PDF report generation and contact form via API (Base module).
Multilingual (UA/EN): support for language_code + language selection priorities (parameter → user language → default).
Security: JWT authorization, CSRF, validations.
Tool Calculations (calculation logic)
API documentation and integration
Complete documentation via Swagger UI / ReDoc / OpenAPI JSON for quick endpoint testing.
Authorization via JWT: obtaining a token /api/token and using Authorization: Bearer
Technologies
Python 3.11+, Django 5.0, FastAPI, PostgreSQL.
Infrastructure-wise, database initialization with fixtures (script/command) is provided.
XLSX import/export, JWT auth, multilingualism, workflows, calculations, and Swagger documentation
Pydantic
DRF, JWT, Pandas, psycopg3
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Backoffice Timesheet — time tracking system
Web Programming
Stack:
Python, Django, Django REST Framework, PostgreSQL, Redis, Celery, Docker, Nginx, React
Project Description:
Backoffice Timesheet — a corporate system for tracking the working hours of a team working on various projects. The platform allows employees to record the time spent, while managers can monitor the team's workload and analyze work efficiency.
… The system is used for internal resource management of the company.
What has been implemented:
- creation and management of projects
- time tracking system
- time distribution by tasks
- generation of reports on employees
- dashboard with analytics
- role-based system (admin / manager / employee)
- REST API for integration with other services
My responsibilities:
- development of the backend logic of the system
- designing the database structure
- implementation of the API
- optimization of analytical queries
- deployment of the system on VPS
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Coach App — AI platform for personal fitness support
Stack:
Python, FastAPI, Django, PostgreSQL, Redis, Celery, WebSockets, Docker, LangChain, LangGraph, Qdrant, JWT, REST API
Project Description:
… Development of an AI platform for personal user support. The system combines a classic backend for storing profiles, workouts, progress, and plans with an AI module that analyzes user data and generates personalized recommendations. The platform was designed as a scalable product with a microservices architecture, where individual services are responsible for authorization, fitness logic, AI interaction, and real-time communication. The main task is to provide the user not just an activity tracker, but a full-fledged AI coach that remembers history, considers goals, physical parameters, and progress dynamics.
What has been implemented:
user registration, authorization, and profile system
storage of anthropometric data, goals, and user parameters
training module, exercises, plans, and activity history
AI chat for interaction with a personal fitness coach
storage of dialogue memory and recommendation history
generation of personalized workout and load recommendations
asynchronous task system through Celery
JWT authorization and API for client applications
containerization of all services through Docker
My responsibilities:
designing the architecture of the entire system
developing the backend part and API
building the microservices structure
implementing the logic of the AI coach
integrating LangChain / LangGraph / Qdrant
implementing WebSocket communication for chat
designing PostgreSQL schemas and relationships between entities
connecting Redis and Celery for background processing
Docker-based deployment and infrastructure preparation for scaling
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Telegram bot for monitoring the warming up of Gmail accounts
Bot Development
A Telegram bot has been developed, which is integrated with the account warming admin system and works as an operational "pager": it receives and displays logs, the warming status, and immediately notifies about problems, so there is no need to sit in the admin panel 24/7.
What the bot can do:
… Instant notifications about critical events:
warming errors / process crashes
suspicious account states (for example, block/manual action needed)
captcha / 2FA / authorization failures (if such states appear in the logs)
Warming status by account/profile:
active/pause/error
last successful warming step
time of last activity
Receiving logs directly in Telegram:
latest entries (for example, "last 20")
filtering by level (INFO/WARN/ERROR) — if this is marked in the logs
Reports:
a short "daily digest" on the warming status (how many ok / how many with problems)
summaries of critical errors over a period (optional)
How it works (integration logic)
The backend of the warming system generates events (logs/statuses) and sends them to the bot, and the bot delivers them to the necessary people/chats in Telegram.
The scenario "quickly saw → quickly reacted" is supported: the message contains the essence of the problem + key fields from the status/log.
Technologies
Telegram Bot API
Integration with the warming backend (transmission of logs/statuses to Telegram)
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CRM system for warehouse accounting in Agribusiness
Web Programming
This is a web application for comprehensive inventory management of an agricultural enterprise. The system automates the entire cycle: from maintaining a catalog of crops and batches to processing orders, conducting inventory counts, and generating reports in PDF/CSV.
It is a modern web solution created to optimize and automate all warehouse accounting processes in the agricultural sector.
Key features
… Product management: a dynamic catalog with filtering by crops, batches, units of measurement, and packaging types
Orders & cart: creating, editing, canceling orders with counting the total number of packages
Goods movement: registration of receipts, issues, returns, and write-offs with operation history and current balances
Inventory: comparison of expected and actual balances in units and packages, automatic adjustment of balances
Reports: data export to PDF/CSV, generation of a consolidated report on balances
Backup: quick creation of dumps and restoration from administrative settings
Technology stack
Backend: Django 4.2, Python 3.8+
API: Django REST Framework, FastAPI (for external integrations)
Database: PostgreSQL 12+
Frontend: Bootstrap 5, jQuery, AJAX, DataTables
Reports: ReportLab (PDF), standard CSV module
Deployment: Gunicorn + Nginx, Docker (optional)
Role and achievements
Modular system architecture that is easily scalable to multiple warehouses and companies
Intuitive interface with responsive design for mobile and desktop
Optimized database queries for instant filtering and table updates
Reliability and security: role-based access, CSRF protection, regular automatic backups
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Abit_project for university (Admin Panel)
Python
Project: Abit_project for university - Educational Platform
This is a modern comprehensive solution developed specifically for Kyiv National University. The project integrates a web portal and a Telegram bot, creating a unified ecosystem for interaction between students and teachers, promoting the integration of online and offline learning.
… Key Features
Integrated Learning System: The platform provides access to educational materials both through a convenient web interface and through an interactive Telegram bot.
Multi-level User System: Roles of administrator, teacher, and student have been implemented, allowing the functionality to be tailored to the needs of each user category.
Enhanced Functionality for Working with Materials: A system of organized library with categorization by subjects, convenient search, filtering, and a rating system that enhances the quality of the educational process.
Full Integration with Telegram: Automated notifications, access to educational materials, quick responses to FAQs, and interactive surveys make communication even more effective.
Communication System: Provides group and private chats, forums for discussions, and an integrated notification system that stimulates active interaction among users.
Document Management: Electronic document management has been implemented with templates, an approval system, and document archiving.
Technologies Used
Backend:
Python 3.10+ — the main programming language.
Django 4.2 — web framework for building a powerful web portal.
Redis — in-memory database management system for high performance.
Ngrok — for testing webhooks and ensuring secure tunneling.
Frontend:
Bootstrap 5 — for creating a responsive and modern interface.
JavaScript (ES6+) — provides dynamic behavior for the client side.
SCSS — for efficient styling and organization of CSS code.
Infrastructure:
Docker & Docker Compose — for containerizing the application, ensuring environment isolation, scalability, and simplifying deployment.
Daphne — ASGI server for handling asynchronous requests, improving performance under high loads.
This project demonstrates a comprehensive, modern solution for educational institutions that combines an effective learning system, interactive communication, and modern development technologies. By utilizing a powerful technology stack (Python, Django, Docker, Redis, Bootstrap, and others), the project ensures a high level of performance, security, and scalability, making it an ideal example for implementing innovative educational services.
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For Artist FanGroup bot
Telegram bot for a popular artist in the Ukrainian show business
This bot is created for the purpose of automated management of the fan community, providing exclusive content, and moderating the chat for a large audience of the artist's supporters. Thanks to the clear code structure and the use of modern solutions, the bot easily adapts to various needs and scales.
Main Features
… Private Access to Content
Generation of unique links for joining closed channels or groups.
Welcome messages and step-by-step registration of new users (age, location, etc.).
Moderation and Security
Filtering of Prohibited Words: The ban_words module and ban_detector script automatically identify and remove inappropriate messages.
Management of Violators: An automatic mute or ban system using custom filters and handlers.
Interactive Polls and Surveys
Using modules for step-by-step collection of information about users or conducting polls among fans.
Flexible Admin Panel
Separate handlers for admins with access to user and channel management modules.
Ability to view statistics, quickly make changes to settings, and track community activity.
Custom Keyboards and Responses
Special keyboards implemented for quick access to commands.
Template messages for forming friendly and understandable responses.
Key Advantages
Convenience for Fans:
All interactions — from receiving exclusive materials to participating in polls — occur directly in Telegram.
Effective Moderation:
The automatic mute/ban system and content filtering eliminate the need for manual checks, maintaining a positive atmosphere in the community.
Easy Scaling:
Thanks to the modular structure, new features can be quickly added or additional services (e.g., CRM or analytics) can be integrated.
Integrability:
Possible work with various databases, connection of payment systems, or mailing services to expand the bot's capabilities.
This Telegram bot is a comprehensive solution for an artist who wishes to effectively interact with fans, offering them exclusive content and a safe communication environment. With a flexible approach to architecture, interactive scenarios, and an extensive moderation system, the bot is a reliable tool for developing and supporting a large fan community.
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Telegram Bot Parser Alliexpress to Shopify
Bot Development
Project: Telegram bot for parsing products from AliExpress implemented using Python (aiogram)
This project is a demonstration of a modern approach to automating data collection and processing for e-commerce. The developed Telegram bot allows for quick access to detailed information about products from AliExpress and prepares data for further import into Shopify. The project was created to optimize the processes of forming product catalogs, which is extremely relevant for modern online stores.
… Key Features
Versatility of parsing modes:
Single product: Simple input of a product link for instant information retrieval.
Search query: Automatic data collection based on a specified query with the ability to set a limit on the number of products.
Batch parsing: Processing a list of URLs, allowing for quick creation of large catalogs.
Report generation in various formats:
Parsing results are exported in CSV, JSON, and Shopify CSV formats, ensuring easy integration with online store management systems.
Automatic photo uploads:
Uploading main images and review photos is done to Cloudinary with file organization by unique IDs, facilitating effective media resource management.
User-friendly interaction interface:
Thanks to integration with Telegram, the user can manage the data collection process through intuitive commands (/start, /help, Start Parsing), receiving real-time updates.
Technologies and Approach
The project is implemented using Python with modern libraries for working with HTTP requests and HTML parsing. Integration with RapidAPI provides access to current data from AliExpress, while Cloudinary is responsible for efficient photo storage. Using Telegram as an interaction platform allows for the creation of a mobile and convenient tool that does not require a separate desktop application.
The Telegram bot for parsing products from AliExpress is an excellent example of integrating various technologies to automate workflows in the e-commerce sector. The project demonstrates a high level of proficiency in API usage, data processing, and creating user-friendly interfaces, making it a valuable addition to the portfolio of any developer focused on innovative solutions in online trading.
Reviews and compliments on completed projects 17
4 February
550 USD
Creation of an MCP server for providing data from the library
Quality
Professionalism
Cost
Contactability
Deadlines
Fast, reliable and great communication.
|
5 January
189 USD
Stage 3
Quality
Professionalism
Cost
Contactability
Deadlines
We have completed the final stage of the project. As in the previous stages, the work was done at a high level - qualitatively, on time, and with a full understanding of the tasks. It was very pleasant to collaborate throughout the entire project. Thank you for your professional approach and excellent result.
Ostap Chornyi
| Personal | Response review
19 December 2025
187 USD
Stage 2
Quality
Professionalism
Cost
Contactability
Deadlines
We have completed the second stage of the project, just like last time, everything was done efficiently and promptly. We are grateful for the work done.
Ostap Chornyi
| Personal | Response review
1 December 2025
187 USD
Stage 1
Quality
Professionalism
Cost
Contactability
Deadlines
A wonderful performer, quickly understood the task and implemented it with quality. The project was completed within the set deadlines, it was a pleasure to collaborate.
Ostap Chornyi
| Personal | Response review
19 October 2025
90 USD
Fix bugs on the introductory bot
Quality
Professionalism
Cost
Contactability
Deadlines
Thank you for the quick, quality, and timely edits. Everything is great as always.
Oleksandr Sin
| Personal | Response review
22 June 2025
50 USD
Deploy the website on Python to hosting
Quality
Professionalism
Cost
Contactability
Deadlines
The developer took responsibility for this project. The work was completed on time.
The project is running successfully.
Dmitry B.
| Personal | Response review
10 June 2025
50 USD
Проверка работы фрилансеров и тестирование сайта на python.
Quality
Professionalism
Cost
Contactability
Deadlines
Developer, completed a complex project, tested it. Now this project is installed on the hosting and works well. I am satisfied with the result of this development.
Dmitry B.
| Personal | Response review
27 May 2025
55 USD
Improvement of the Telegram bot and website
Quality
Professionalism
Cost
Contactability
Deadlines
Разрабочик, справился легко с очень сложным проектом.
Всегда был на связи. Он сделал качественную верстку сайта.
Dmitry B.
| Personal | Response review
29 April 2025
226 USD
Creation of a web application for warehouse accounting
Quality
Professionalism
Cost
Contactability
Deadlines
Thank you very much for the excellent work! The web application for warehouse accounting that you developed is truly a complete, functional, and very convenient system that significantly simplifies work processes. I especially appreciate your professional approach, openness to feedback, and ability to propose your own effective solutions. It was a pleasure working with you. You are a true professional. I sincerely recommend!
Matvii Matin
| Personal | Response review
29 March 2025
350 USD
Telegram bot with auth0 authorization
Quality
Professionalism
Cost
Contactability
Deadlines
Quickly, efficiently, and effectively. I recommend.
29 March 2025
115 USD
Improvement of the Telegram bot and website
Quality
Professionalism
Cost
Contactability
Deadlines
The developer finished the Telegram bot, added an admin panel, configured the non-working bot, and added new functionality. A new website was created. The result is a working bot with an admin panel and a new website. I recommend.
Dmitry B.
| Personal | Response review
25 March 2025
85 USD
Improvement of the Telegram bot
Quality
Professionalism
Cost
Contactability
Deadlines
Andrey quickly handled the technical task. He fixed the errors in the boa code that the previous developer made. He connected the website to the Telegram bot.
He is satisfied with the results of the work.
Dmitry B.
| Personal | Response review
12 March 2025
16 USD
Consultation on creating a Telegram bot
Quality
Professionalism
Cost
Contactability
Deadlines
A productive consultation was held with a Python programmer. All questions were discussed in detail, and the answers were provided clearly and professionally. I am satisfied with the collaboration; everything went at a high level. Thank you for the consultation!
Matvii Matin
| Personal | Response review
5 March 2025
271 USD
Creation of a Telegram bot in Python
Quality
Professionalism
Cost
Contactability
Deadlines
Extremely satisfied with the collaboration! Everything was done quickly, efficiently, and without unnecessary questions. The freelancer responded promptly to revisions and offered optimal solutions. The work was completed within the agreed deadlines, and the result fully meets expectations. I recommend!
23 February 2025
68 USD
Hosting for Python Parser in Telegram
Quality
Professionalism
Cost
Contactability
Deadlines
Everything works and is done correctly. Thank you very much for the repeated collaboration!
Valeriia Sliusarenko
| Personal | Response review
19 February 2025
45 USD
Telegram bot for posting comments in channels
Quality
Professionalism
Cost
Contactability
Deadlines
Excellent and quickly completed his work. Quickly resolved all found bugs and shortcomings. Completely satisfied with the work.
7 February 2025
79 USD
Need a parser/scraper for Aliexpress (Python)
Quality
Professionalism
Cost
Contactability
Deadlines
Thank you for the great collaboration, everything works! Very fast and efficient! Suggested good options for achieving the project's goals.