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Susav Shrestha
About me
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projects
1
A scalable multi-vector information retrieval system for large language models. Built with Python, PyTorch, CUDA. Led SSD-based embedding offload, achieving 16x memory reduction and 6.4x faster retrieval. Code
2
Short description of portfolio item number 2 
Polar Sparsity: Structured Sparsity for Deep Learning
A new method for structured sparsity in deep neural networks using polar coordinate transformations. Enables efficient model pruning and compression for real-world deployment. Paper
publications
ESPN: Memory Efficient Multi-Vector Information Retrieval
Published in , 2023
Download here
Polar Sparsity: High Throughput Batched LLM Inferencing with Scalable Contextual Sparsity
Published in , 2025
Download here