• Developed a Telegram channels and groups aggregator platform collecting data from 20+ sources. Implemented data parsing and continuous validation pipeline. Designed backend services for aggregating and updating large-scale datasets. Built and optimized MongoDB database storing 3M+ records. Ensured data integrity by implementing duplicate detection and validation mechanisms during parsing and updates. Developed web interface with filtering by categories and subscriber count. Optimized queries for efficient data retrieval from large datasets.

• Created CRM system with automated resume parsing pipeline. Integrated Work.ua and Robota.ua parsers. Built OCR pipeline using Tesseract. Extracted and structured candidate data (name, phone, email, etc.). Processed 500–1500 resumes per day. Reduced manual HR workload significantly. Backend handled ~2k–10k API requests/day.

• Built web-based HR communication platform supporting 80–100 active users. Integrated Telegram bots for city-based candidate routing. Implemented role-based message distribution. Handled 1500–5000 messages per day. Designed backend supporting thousands of API requests daily.

• Developed internal CRM system for vending machine inventory management. Implemented tracking of product availability, quantities, and transaction history.

• Configured domain-based email sending (SMTP).

• Migrated infrastructure from Windows Server to Debian. Improved deployment speed and stability.

• Implemented CI/CD pipelines for all projects.