- Diving into personal projects, tackling technical challenges, and sharpening problem-solving skills.- Continuous learning.

- Developed and maintained manual and automated test cases to ensure functional coverage and effective regression testing for credit risk strategies.- Developed a Python framework for the QA team to generate targeted depersonalized test data (test cases) from the real client database, It led to 10x faster test case preparation for 11 QA Engineers, 5x extended test coverage for regression testing, and much-accelerated feature delivery.- Contributed to debugging a critical non-functional defect in a micro-service, resolving a performance issue that persisted for two months in the credit decision-making system, resulting in a 4x reduction in computational resource costs.- Participated in testing activities of Retail Credit Risk teams, which enabled more consistent feature delivery and enhanced collaboration across all teams.Core: Python, Jupyter Notebook, Bash, Bitbucket, API, Microservices, REST, SOAP, JSON, XML, Requests, Postman, SoapUI, SQL, AI models, Pytest, Requests, Jira, Confluence.

- Created and maintained test cases for functional test-coverage.- Developed and maintained automated tests for regression testing within the CI pipeline, ensuring rapid feedback to developers about the impact of their changes.- Developed custom automated performance tests to capture and monitor key performance metrics.- Developed a test tool for stability testing across desktop and mobile platforms, identifying issues such as long-term memory leaks, abnormal resource consumption, and segmentation faults (seg faults).- Led internal meetups on quality control and quality assurance topics. This initiative resulted in higher unit test coverage, increased developer involvement in testing, and the implementation of metrics for quality assessment.- Contributed to the development team by coding new features, troubleshooting, debugging, and fixing bugs to improve team collaboration and accelerate the delivery of reliable software and new features to customers.- Developed, enhanced, and tested user documentation, resulting in a reduction in support queries and a faster SDK integration process by ensuring clarity and a user-friendly format.Core: Python, C++, Java, Bash, Git, GitLab CI, Linux, Windows, Android, Android Studio, ADB, CMake, Docker, Kubernetes, Zabbix, Kibana, UnitTest, Google Test, GDB, API, AI models, Qase.io.