Anbor ERP System Development and Optimization
Budget: $8 – $15 USD
ERP system “Anbor” - full-cycle backend and infrastructure ownership.
Designed and built the system architecture from scratch, starting with a Django-based monolith and later leading a gradual transition to a clean architecture with a modern, high-performance stack (Litestar, SQLAlchemy, Pydantic, msgspec, Redis, PostgreSQL, ClickHouse).
Improved system performance by up to 500% through deep optimization of application logic and database queries, significantly reducing load and improving responsiveness.
Led the backend and technical direction of the project: architecture decisions, stack selection, feature decomposition, and code quality control. Mentored and grew 2 developers from internship level to самостоятельной работе.
Fully owned infrastructure and DevOps processes:
Linux server setup and administration (production environment)
Containerization and service orchestration
CI/CD pipelines and deployment processes
Monitoring, stability, and runtime issue handling
Built a portable version of the system with a custom CLI tool, enabling reproducible deployments across Linux and Windows environments without virtualization. The solution manages all components (database, cache, workers, queues) and simplifies installation and maintenance.
Flexible engineering approach: able to deliver fast solutions with reasonable architecture or invest in deep system design when scalability and long-term stability are critical.
Designed and built the system architecture from scratch, starting with a Django-based monolith and later leading a gradual transition to a clean architecture with a modern, high-performance stack (Litestar, SQLAlchemy, Pydantic, msgspec, Redis, PostgreSQL, ClickHouse).
Improved system performance by up to 500% through deep optimization of application logic and database queries, significantly reducing load and improving responsiveness.
Led the backend and technical direction of the project: architecture decisions, stack selection, feature decomposition, and code quality control. Mentored and grew 2 developers from internship level to самостоятельной работе.
Fully owned infrastructure and DevOps processes:
Linux server setup and administration (production environment)
Containerization and service orchestration
CI/CD pipelines and deployment processes
Monitoring, stability, and runtime issue handling
Built a portable version of the system with a custom CLI tool, enabling reproducible deployments across Linux and Windows environments without virtualization. The solution manages all components (database, cache, workers, queues) and simplifies installation and maintenance.
Flexible engineering approach: able to deliver fast solutions with reasonable architecture or invest in deep system design when scalability and long-term stability are critical.