Shashivardhan Reddy Bajari

@Shashi-Dev

Joined September 2025

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Shashivardhan Reddy Bajari's blogs

Why Kafka Exists (The Real Story)why-kafka-exists.hashnode.dev2 posts

A Deep Dive into Vector Database Indexesvector-indexes.hashnode.dev1 post

How to Evaluate a RAG with Node.jsevaluate-rag-with-nodejs.hashnode.dev1 post

REFRAG: Meta's Trick to Make RAG Fastrefrag.hashnode.dev1 post

Node.js Execution Model, Concurrencynodejs-execution.hashnode.dev1 post

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Recently published

SRShashivardhan Reddy Bajarijavascript-you-dont-know.hashnode.devNov 17, 2025 · 8 min read

Understanding JavaScript Maps & Sets: Internal Working Explained Simply

JavaScript's Map and Set are powerful data structures that offer fast lookups, maintain insertion order, and provide better performance than plain objects when dealing with large datasets. But how do they work internally? What are hash tables, bucket...

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SRShashivardhan Reddy Bajariwhy-kafka-exists.hashnode.devNov 12, 2025 · 7 min read

Apache Kafka — The Backbone of Modern Data-Driven Systems

In the world of distributed systems, data moves at lightning speed.Thousands of microservices generate millions of events — orders, payments, logs, GPS updates, transactions — all needing to be processed, stored, and analyzed in real time. How do mod...

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SRShashivardhan Reddy Bajariwhy-kafka-exists.hashnode.devNov 12, 2025 · 7 min read

Why Kafka Exists (The Real Story)

Kafka was built at LinkedIn around 2010 when their monolithic application started breaking apart into hundreds of services generating massive data streams — logs, clicks, events, metrics, messages. They needed a system that could: Handle millions of...

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SRShashivardhan Reddy Bajarinodejs-execution.hashnode.devNov 12, 2025 · 9 min read

Deep Dive — Node.js Execution Model, Concurrency, and Performance

1 — High-level overview: single-threaded JS, multi-threaded runtime JavaScript execution in Node.js runs on a single main thread (V8). That’s the thread people mean when they say “Node is single-threaded.” Node.js runtime is multi-threaded under th...

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SRShashivardhan Reddy Bajarirefrag.hashnode.devSep 23, 2025 · 10 min read

REFRAG: Meta's Trick to Make RAG Blazing Fast - and Still Exact

How “Compress • Sense • Expand” lets LLMs handle huge knowledge bases without drowning in tokens. Retrieval-Augmented Generation (RAG) is the backbone of knowledge-grounded LLM apps — but it’s painfully slow once you start feeding the model thousands...

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Shashivardhan Reddy Bajari

About

Available for

Shashivardhan Reddy Bajari's blogs

Recently published

Understanding JavaScript Maps & Sets: Internal Working Explained Simply

Apache Kafka — The Backbone of Modern Data-Driven Systems

Why Kafka Exists (The Real Story)

Deep Dive — Node.js Execution Model, Concurrency, and Performance

REFRAG: Meta's Trick to Make RAG Blazing Fast - and Still Exact

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Shashivardhan Reddy Bajari

About

Available for

Shashivardhan Reddy Bajari's blogs

Recently published

Understanding JavaScript Maps & Sets: Internal Working Explained Simply

Apache Kafka — The Backbone of Modern Data-Driven Systems

Why Kafka Exists (The Real Story)

Deep Dive — Node.js Execution Model, Concurrency, and Performance

REFRAG: Meta's Trick to Make RAG Blazing Fast - and Still Exact