Keshab Fouzdar

GenAI & LLM Integration: Architected and integrated Generative AI and LLM workflow components into collections systems, automating intelligent customer interaction analysis and raising hardship assessment accuracy. Predictive ML Microservices: Engineered high-performance Python and Java microservices incorporating predictive ML algorithms to enable real-time risk scoring, dynamic account segmentation, and targeted collection strategies. Enterprise Decisioning Architecture: Developed custom decisioning

Developed API test automation framework using RestAssured and achieved a notable 15% increase in API test coverage by leveraging diverse and realistic test data sets. Utilized Cucumber for behavior-driven development (BDD) approach, resulting in a 30% improvement in test readability and maintainability compared to traditional testing methods. Automated over 250+ API test cases, enhancing the reliability of releases in the agile testing team.

Spearheaded backend API validations utilizing Postman and implemented AWS authentication layer for front-end APIs, resulting in a 20% reduction in API-related defects. Designed and developed a scalable backend API automation framework incorporating REST Assured, Cucumber, and Java, enhancing testing efficiency by 30%. Integrated API automation tests within Continuous Integration pipelines using Jenkins within Linux system, reducing the time to detect defects by 40%.

Implemented Page Object Model automation framework design using Selenium WebDriver, Java, and TestNG, resulting in a 40% reduction in test script maintenance efforts and ensuring high code reusability.

Created and executed 500+ Test Cases using HP Quality Centre 10.0, achieving a 40% increase in Software Testing efficiency and ensuring adherence to established testing standards