Spearheaded a transformative AGRO-INDUSTRY project, impacting over 100 000 farmers by implementing data-driven insights that revolutionized crop management and boosted productivity by 40%. Developed and deployed a robust backend system that processed over 10+ terabytes of agricultural data, delivering valuable insights to optimize farming practices.Collaborated with agronomists and stakeholders to streamline workflows, resulting in a 30% faster requirement gathering process. Designed a scalable database architecture and created algorithms for crop recommendation, pest prediction, and optimal planting times, leading to a 20% improvement in crop yield and reduced pest incidents.Integrated with over 100+ external APIs to enhance data accuracy, and leveraged space imagery with NDVI to provide farmers with daily crop growth analysis, significantly improving real-time decision-making. Led the production deployment and provided training to ensure the system's seamless adoption and tangible impact in the agricultural community.This project underscores my commitment to using technology for impactful, innovative solutions in agriculture.

Developed a fully functional Telegram bot using Node.js for paid subscription services, achieving rapid growth to nearly 1 million users and generating $1 million in revenue within the first year. Integrated secure payment gateways and the Payme merchant subscription API, ensuring a smooth and reliable transaction experience for users.Built an intuitive admin panel to manage bot settings, subscriptions, and user data, empowering administrators with real-time analytics and streamlined subscription management. Implemented robust features for user analytics, subscription tracking, and payment processing, which contributed to the bot's operational efficiency and high user satisfaction.This project demonstrates my expertise in high-scale application development, secure payment integration, and delivering tools that drive significant business growth.

Developed a SaaS project for cash back system in supermarkets using Node.js, Sequalize, and PostgresqlCreated a website and administration panel for project managementBuilt a mobile application backend for over 10000+ customersImplemented a service for managing cashier checksDeveloped an admin panel with multi-functionality and statistics for supermarket staffCollaborated with mobile and frontend engineers to develop REST API contractsIntegrated a face recognition system for 1000+ students and teachersUtilized DDD (domain-driven design) pattern for writing high-quality code