Project description: Developed a flexible module for recruitment and HR automation. The system allowed for customizable job postings with dynamic hiring workflows, automatic publication to job platforms and importing candidates from external sources to build and manage a talent pool. It supported building tailored recruitment pipelines with progress tracking for each candidate. The integrated HRM module included employee record management, payroll calculation, time-off and sick leave tracking, document generation, and full integration with the recruitment module, ensuring seamless visibility across the entire employee lifecycle—from candidate to full-time team member. • Back-end development • Adding new features • AWS provisioning • Implemented a robust audit log system to track all entity changes with full rollback capabilities to any historical state • Configuring Kafka pipelines • Supported the application • Create technical and API documentation using required standards • Designed and developed an advanced filtering engine with support for nested entity filtering, automatic join resolution, sorting • Setting up CI/CD pipelines • Debugging and refactoring of existing functionality to improve stability and performance • Automated testing • Code review • Refactoring • Technical Skills: Python 3.x, Django, Django REST framework, FastAPI, Pydantic, Alembic, SQLAlchemy, Kafka, PostgreSQL, Celery, Celery Beat, Ory Oathkeeper, Ory Kratos, Docker, Docker Compose, Yandex Cloud, Pytest, Swagger API, Opensearch, Opensearch-dashboard, ArgoCD, OAuth 2.

Project description: Developed high-load aggregation services for the SEO department of a real estate company. The system performed automated website scans to detect inconsistencies in content, page availability, and SEO metadata. Additionally, modules were built to collect and analyze large volumes of data from external APIs, monitor real estate market trends, and generate actionable insights to enhance search engine performance and support strategic business decisions. • Back-end development • Designed and implemented high-load data aggregation services for SEO and market monitoring. • Integrated and optimized data collection from multiple third-party real estate APIs. • Developed internal tools for real-time SEO diagnostics and reporting. • Supported the application • Create technical and API documentation using required standards • Setting up CI/CD pipelines • Debugging and refactoring of existing functionality to improve stability and performance • Automated testing • Code review • Refactoring • Technical Skills: Python 3.x, FastAPI, Pydantic, Alembic, SQLAlchemy, PostgreSQL, ClickHouse, Celery, Celery Beat, asyncio, multiprocessing, multithreading, Docker, Docker Compose, Yandex Cloud, Bash scripts, Pytest, Swagger API, AirFlow.

Project description: Developed a platform for selling and training users on automated trading systems. Implemented integration with multiple payment providers, a referral system with performance tracking, and modules for monitoring the efficiency of connected trading algorithms. The platform included a user-friendly interface, a structured learning system, and flexible access control for commercial products. • Back-end development • Designed and developed a web platform for selling and educating users on algorithmic trading systems. • Implemented a referral system with real-time tracking and user attribution logic. • Integrated multiple payment gateways to support seamless transactions and subscriptions. • Supported the application • Setting up CI/CD pipelines • Debugging and refactoring of existing functionality to improve stability and performance • Automated testing • Code review • Refactoring • Technical Skills: Python 3.x, Django, DRF, PostgreSQL, Celery, Celery Beat, Docker, Docker Compose, AWS (EC2, S3, RDS, SES), Pytest, DDF, Swagger API.

Физический факультет , Научно-исследовательская деятельность