Adhi Ganapathy R

Automated repetitive workflows using Python and Selenium, improving process efficiency. Streamlined testing operations by integrating reusable components within hybrid automation frameworks. Implemented Retrieval-Augmented Generation (RAG) to ground AI-driven test automation using requirements, execution logs, historical failures, and existing test cases, improving reliability and reducing false positives. Leveraged AI-driven log analysis and historical test execution data to assist in identifying failure patterns and improving test reliability. Applied MLOps practices by containerizing ML experimentation workflows using Docker, tracking runs and artifacts with MLflow, and ensuring reproducibility through version control and CI/CD alignment.

Built and maintained backend components using Java, improving application reliability. Implemented responsive user interfaces using HTML, CSS, and JavaScript. Deployed ML models using Flask and Streamlit for interactive inference and validation. Worked on AI/ML tasks including model training and fine-tuning for classification and prediction problems. Performed data preprocessing, feature engineering, hyperparameter tuning, and model evaluation to improve predictive performance.