Anton Tkachenko
Rating
Language proficiency level
CV
I’m a full-stack developer with solid experience in JavaScript and TypeScript, focused on delivering high-quality, scalable, and profitable digital solutions.
✅ Core Expertise:
Languages & Frameworks: JavaScript, TypeScript, NestJS, Fastify, Express, Next.js, React, React Router
Databases: MongoDB, PostgreSQL, MySQL, SQLite, MSSQL
ORMs & ODMs: Prisma, TypeORM, Mongoose, Entity Framework
Caching & Messaging: Redis, Memcached, RabbitMQ, Kafka
Web Automation & Scraping: Puppeteer, Playwright, Crawlee, Selenium, Scrapy, BeautifulSoup
Dev Tools & Ecosystem: Git, Docker, Docker Compose, Vite, Webpack, ESLint, Prettier
🛠️ Recent Projects:
Full-stack systems built with modular and microservice architectures
Integration of third-party APIs and AI services
Development of Telegram bots
Custom web scraping and parsing tools
Userscripts for browser automation and enhancement
Whether you’re building something from scratch or enhancing an existing system, I can help bring your project to life with clean code, smart architecture, and a results-driven approach.
Let’s connect to discuss how I can contribute to your success.
Skills and abilities
Programming
Services
Administration
Portfolio
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School Management System — Enterprise ERP for Online Educucation
Web ProgrammingSchool Management System - is a comprehensive ERP solution designed to automate and streamline the administrative and educational processes of an online school. The system digitizes paperwork, tracks academic performance, and facilitates seamless interaction between parents, tutors, and administration
Key Features:
• Digital Onboarding & Document Management: Automated collection, validation, and secure storage of personal data and documents using modern encryption standards.
… • Academic Monitoring Suite: Full-featured digital gradebooks, student diaries, and automated report cards (transcripts).
• Granular Role-Based Access Control (RBAC): A sophisticated multi-tier permission system for Superadmins, Tutors, Parents, Teachers, and Methodologists.
• Enterprise-Grade Security: Implementation of 2FA, AES-256 data encryption, Argon2id password hashing, and comprehensive action logging (Audit Trail).
Tech Stack:
#React #Nestjs #PostgreSQL #TaillwindCSS #shadcn #Redis #docker
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11 618 USD iKnowRos - Marketplace Analytics SaaS
Web ProgrammingiKnowROS is a web-based analytics platform designed to digitize and centralize business performance metrics for marketplace sellers. The system connects to seller accounts via API tokens, continuously aggregates sales and operational data, and produces automated financial and performance reports to support data-driven decision-making.
Core Capabilities
• Automated Marketplace Data Integration: Periodic retrieval of sales, orders, and financial data from connected marketplace accounts. 
… • Financial Analytics: Calculation of unit economics and key indicators including ROS, ROI, net profit, cost breakdowns, and profit/loss summaries. 
• Operational Reporting: Aggregated statistics on order fulfillment, sales distribution, and inventory performance across defined time windows. 
• Product and Assortment Insights: Analysis segmentation for product groups, ABC classification for inventory prioritization. 
• Telegram Bot Integration: Optional Telegram bot for daily summaries, alerts, and interactive report delivery.
iKnowROS enables marketplace sellers to centralize otherwise fragmented metrics into a single analytical interface, automating repetitive calculations and delivering business insights without manual data consolidation.
Responsibilities & Contributions
• Architected and implemented the backend using Nest.js with modular service layers.
• Built the frontend with Next.js, incorporating server-side rendering and client-side interactivity.
• Designed the database schema and managed relational data in PostgreSQL.
• Integrated Redis for caching and performance optimization.
• Configured Docker containers for consistent development and deployment environments.
Tech Stack: #NextJS #React #NestJS #PostgreSQL #Redis #Docker
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AI Call Analyzer – Automated Evaluation of Outbound Sales Calls
AI & Machine LearningAI Call Analyzer is an AI-powered system for evaluating the quality of outbound calls made by sales managers to leads. Built using n8n, Binotel API, ChatGPT, and KommoCRM, the project enables automated analysis of sales conversations based on internal business criteria — helping improve performance and ensure consistent client communication.
Key Features:
• AI-based transcription and quality analysis of outbound sales calls
… • Customizable evaluation logic tailored to internal sales standards
• Fully automated workflow powered by n8n (low-code)
• Integration with KommoCRM and Google Sheets for easy access to call insights
• Automated alerts for low-quality or non-compliant calls
Result:
This solution enables businesses to automatically assess the quality of outbound calls without manual review, providing actionable insights for training, performance tracking, and service improvement.
Activity
| Latest proposals 2 | Budget | Added | Deadlines | Proposal | |
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Telegram bot for selling access to a closed channel
465 USD
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Custom Wordpress site
174 USD
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