Streaming Compatible Lazy Loading With Memory Efficient Batch Iteration

via “memory-optimized batch processing with streaming i/o”

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Unique: Implements ring buffer-based streaming I/O with concurrent worker pools in Go, achieving 26-30% speedup through reduced memory footprint and disk I/O optimization; uses lazy model loading and automatic memory cleanup between batches to maintain consistent performance across long-running jobs

vs others: More memory-efficient than loading entire datasets into RAM (enables processing of files larger than available memory); faster than sequential processing through concurrent workers; better performance than naive batch processing through optimized I/O patterns