Hi, I'm Anjili Rani Bevara

Engineered a production-ready application utilizing Retrieval-Augmented Generation (RAG) and large language models to automate environmental sustainability analysis. Implemented vectorized searching mechanisms to process data metrics, improving context retrieval and user query reliability. Designed backend micro-services using modern software patterns to guarantee horizontal scalability and optimal query handling.

Developed an end-to-end Machine Learning pipeline utilizing Linear Regression and Random Forest models to predict vehicle fuel efficiency (MPG). Executed robust data preprocessing techniques including scaling, feature encoding, and multivariate outlier detection to minimize model variance. Optimized model hyperparameters via cross-validation techniques, securing high prediction accuracy measured by R² and reduced RMSE.

Architected a responsive, full-stack sports portal leveraging a Python Flask backend for low-latency client responses. Built structured RESTful API routing mechanisms to ensure dynamic server-side content rendering and deterministic data mutations. Refactored client-facing components to achieve complete separation of concerns and maximize platform observability.