• Spearheaded the optimization of a file analysis application, utilizing Python, Django (DRF), Vue.js, PostgreSQL, MSSQL and Docker, achieving a reduction in analysis time by over 90% through advanced data processing techniques.• Collaborated on the development of a highly scalable application for managing production machine-generated files, leveraging Django (DRF), Vue.js, Docker, MySQL, MongoDB and Azure services, significantly enhancing incident detection and response efficiency for users.• Contributed to the establishment of a standardized deployment environment, optimizing development processes and simplifying deployment with Docker, Nginx, GitLab CI/CD, and automated testing, resulting in a more efficient and reliable development pipeline.• Responsible for refactoring, maintaining, and optimizing scripts and RPA solutions, increasing their speed and efficiency, and ensuring robust performance through continuous improvement and code optimization techniques.

• Engineered and managed REST APIs for a job search platform with Django REST Framework (DRF), serving over 100,000+ active users.• Architected and optimized PostgreSQL and MongoDB databases for efficient data management and advanced search functionalities.• Implemented comprehensive automated testing to guarantee software reliability, and established continuous integration and deployment pipelines with GitHub Actions.• Deployed and orchestrated services using Docker, ensuring consistency across development and production stages.• Leveraged AWS cloud infrastructure, including S3, SNS, SES, and EC2, to achieve scalable and resilient deployments, significantly enhancing platform uptime and performance.

• Developed high-efficiency REST APIs for user services using Python, Django (DRF), and FastAPI, ensuring robust and scalable solutions.• Implemented and maintained PostgreSQL databases, optimizing queries and performance for large-scale data operations.• Utilized Redis for caching, Celery for asynchronous task processing, and RabbitMQ for queuing, enhancing performance and reliability.• Integrated AWS services to support cloud-based deployments and managed Docker containers for consistent development and production environments.• Automated testing and continuous integration processes using Unit Testing and GitLab CI/CD pipelines, ensuring high code quality and streamlined deployment cycles.

• Diagnosing and resolving technical issues reported by users (phone and network connections), including analyzing reports, identifying root causes, and implementing solutions. Providing first-level support, escalating more complex problems to relevant departments, and monitoring the progress of their resolution.• Performing auxiliary tasks during software improvement processes, such as testing new versions, identifying and reporting bugs, and collaborating with the development team to implement fixes and updates.• Classifying tickets and creating reports on current defects and malfunctions, including systematically recording and tracking incidents in the incident management system. Prioritizing tickets and preparing reports for management and technical teams.• Providing mentorship and training for new team members.