<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>pravakar.xyz</title><description>Manoj P. Saha — Agentic AI and AI systems</description><link>https://pravakar.xyz/</link><language>en-us</language><item><title>Redact: A Transparent Privacy Filter for the AI Era</title><link>https://pravakar.xyz/blog/ai-privacy/redact-transparent-privacy-filter-for-ai/</link><guid isPermaLink="true">https://pravakar.xyz/blog/ai-privacy/redact-transparent-privacy-filter-for-ai/</guid><description>Redact intercepts traffic between your machine and AI services, automatically anonymizing PII before it leaves your device — no workflow changes required.</description><pubDate>Sun, 10 May 2026 00:00:00 GMT</pubDate></item><item><title>LLM-Assisted Threat Modeling</title><link>https://pravakar.xyz/blog/applied-ai/llm-assisted-threat-modeling/</link><guid isPermaLink="true">https://pravakar.xyz/blog/applied-ai/llm-assisted-threat-modeling/</guid><description>Using large language models to accelerate threat modeling sessions and identify attack surfaces in complex systems.</description><pubDate>Fri, 20 Mar 2026 00:00:00 GMT</pubDate></item><item><title>LATTICE: Efficient In-Memory DNN Model Versioning</title><link>https://pravakar.xyz/blog/ai-systems/lattice-efficient-in-memory-dnn-model-versioning/</link><guid isPermaLink="true">https://pravakar.xyz/blog/ai-systems/lattice-efficient-in-memory-dnn-model-versioning/</guid><description>A persistent memory library that makes DNN checkpoint writes faster by versioning models directly on non-volatile memory devices, bypassing the traditional storage bottleneck.</description><pubDate>Sun, 01 Jun 2025 00:00:00 GMT</pubDate></item><item><title>Efficient Metadata Management for Large Block Volume</title><link>https://pravakar.xyz/blog/data-systems/metadata-management-patent/</link><guid isPermaLink="true">https://pravakar.xyz/blog/data-systems/metadata-management-patent/</guid><description>A patented method for managing metadata in large block volumes by leveraging CXL-attached persistent memory devices for improved indexing performance.</description><pubDate>Tue, 01 Oct 2024 00:00:00 GMT</pubDate></item><item><title>MoKE: Modular Key-Value Emulator for Realistic Storage Studies</title><link>https://pravakar.xyz/blog/data-systems/moke-modular-kv-emulator/</link><guid isPermaLink="true">https://pravakar.xyz/blog/data-systems/moke-modular-kv-emulator/</guid><description>A QEMU-based KV-SSD emulator that accurately models device internals — data placement, garbage collection, and in-storage indexing — enabling realistic research without physical hardware.</description><pubDate>Sat, 01 Jul 2023 00:00:00 GMT</pubDate></item><item><title>Allocation Policies Matter for Hybrid Memory Systems</title><link>https://pravakar.xyz/blog/ai-systems/allocation-policies-hybrid-memory-systems/</link><guid isPermaLink="true">https://pravakar.xyz/blog/ai-systems/allocation-policies-hybrid-memory-systems/</guid><description>How the choice of memory allocation policy significantly impacts performance in hybrid DRAM + CXL memory systems, challenging the default DRAM-preferred approach.</description><pubDate>Tue, 20 Jun 2023 00:00:00 GMT</pubDate></item><item><title>Leveraging Keys in Key-Value SSD for Production Workloads</title><link>https://pravakar.xyz/blog/data-systems/leveraging-keys-kvssd/</link><guid isPermaLink="true">https://pravakar.xyz/blog/data-systems/leveraging-keys-kvssd/</guid><description>A scheme that exploits the hierarchical structure embedded in key names to improve I/O request handling performance for Key-Value and Object storage devices.</description><pubDate>Tue, 20 Jun 2023 00:00:00 GMT</pubDate></item><item><title>RHIK: Resizable Hash-based Indexing for KV-SSD</title><link>https://pravakar.xyz/blog/data-systems/rhik-hash-based-indexing-kvssd/</link><guid isPermaLink="true">https://pravakar.xyz/blog/data-systems/rhik-hash-based-indexing-kvssd/</guid><description>A dynamically resizable hash-based index for KV-SSD devices that maintains high performance as data grows, solving the capacity and performance degradation problems of current designs.</description><pubDate>Tue, 20 Jun 2023 00:00:00 GMT</pubDate></item><item><title>Optimizing Data Management within Key Value Storage</title><link>https://pravakar.xyz/blog/data-systems/kv-storage-optimization-patent/</link><guid isPermaLink="true">https://pravakar.xyz/blog/data-systems/kv-storage-optimization-patent/</guid><description>A granted US patent covering the RHIK resizable hash-based indexing technique that enables KV-SSDs to maintain performance at high occupancy without costly full-table rehashing.</description><pubDate>Sat, 01 Oct 2022 00:00:00 GMT</pubDate></item><item><title>KV-SSD: What is it Good For?</title><link>https://pravakar.xyz/blog/data-systems/kvssd-what-is-it-good-for/</link><guid isPermaLink="true">https://pravakar.xyz/blog/data-systems/kvssd-what-is-it-good-for/</guid><description>The first comprehensive performance characterization of Key-Value SSDs, revealing how their behavior differs from block SSDs and identifying workloads where they excel.</description><pubDate>Wed, 01 Dec 2021 00:00:00 GMT</pubDate></item><item><title>Fine-grained Control of Concurrency within KV-SSDs</title><link>https://pravakar.xyz/blog/data-systems/fine-grained-concurrency-kvssds/</link><guid isPermaLink="true">https://pravakar.xyz/blog/data-systems/fine-grained-concurrency-kvssds/</guid><description>Methods for managing concurrent access within KV-SSD devices to improve throughput and reduce tail latency under mixed workloads.</description><pubDate>Tue, 01 Jun 2021 00:00:00 GMT</pubDate></item><item><title>Performance and Consistency Analysis for Distributed Deep Learning</title><link>https://pravakar.xyz/blog/ai-systems/performance-consistency-distributed-dl/</link><guid isPermaLink="true">https://pravakar.xyz/blog/ai-systems/performance-consistency-distributed-dl/</guid><description>A study of how system configurations, distribution topologies, and parameter server architectures affect the accuracy-throughput tradeoff in distributed deep learning training.</description><pubDate>Sun, 15 Nov 2020 00:00:00 GMT</pubDate></item></channel></rss>