Developed a Reservoir Sampling utility for streamed data in the Hardvan/Java repository, focusing on scalable and memory-efficient sampling from unbounded streams. The implementation introduced a static method for drawing k items from a stream, leveraging core Java and data structures to ensure robust performance. Comprehensive unit tests were written to validate correctness, handle edge cases, and assess performance characteristics, supporting reliable integration into the randomized module. The feature was designed for seamless downstream analytics usage, maintaining a minimal memory footprint. Emphasis was placed on clean code integration, algorithm implementation, and thorough unit testing to ensure maintainability and correctness in production environments.