HIMABINDU BATHINI

• Designed and implemented comprehensive test plans for ML algorithms, ensuring accuracy and reliability
• Developed and maintained automated testing frameworks for evaluating machine learning model performance
• Collaborated with ML Engineers to understand data structures and optimize testing methodologies
• Analyzed test results meticulously, diagnosing discrepancies and recommending corrective measures
• Established benchmarks and metrics for model performance, integrating QA methodologies into CI/CD pipelines
• Created and executed successful test scripts for automated feature testing
• Demonstrated new product features and functionality to project stakeholders
• Assessed software bugs and compiled findings with suggested resolutions for development teams
• Worked cross-functionally to develop innovative solutions to functionality issues

Key Projects:

• ArcSight Intelligence: Tested UEBA and unsupervised machine learning algorithms for threat detection
• Fortify Audit Assistant: Validated machine learning models for vulnerability assessment in code scans
• ArcSight Fusion: Ensured quality for security visualization and analytics dashboard components
• Core Adversary Signals: Tested SaaS-based analytics for malicious traffic detection and monitoring

• Executed test scripts across multiple environments, including Oracle DEP, MSS, DB2, and UNIX
• Performed debugging for failures related to XPath changes, environment issues, and functionality problems
• Reported bugs using Bug Smart Tool to Functional QA teams
• Developed, executed, and maintained automation scripts using Selenium WebDriver
• Executed scripts in PeopleSoft Test Framework (PTF)
• Coordinated with onsite teams regarding functionality queries and issues