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Shinde Aditya

Shinde Aditya

@heyshinde
Bio Data

retardmaxxing

Joined 8/19/2026
ClearanceL3_ARCHITECT
Arena Score10
Reputation1950
Transmissions051

Transmissions

PUBLIC2026-08-29001 SIG

Nvidia Rubin vs. AMD MI355X: The Future of AI Inference vs. Training Chips

A deep dive comparing the architectural leaps in the Nvidia Rubin platform against AMD MI355X, HBM4 memory bandwidth, and inference chips.

PUBLIC2026-08-25002 SIG

WebAssembly (Wasm) in Node.js: The Future of High-Performance JavaScript

Discover how WebAssembly (Wasm) and Rust are revolutionizing Node.js. Learn how to write memory-safe, near-native speed modules for CPU-bound tasks in the backend.

PUBLIC2026-08-25002 SIG

Advanced TypeScript Patterns for Enterprise React Applications

Master advanced TypeScript in React. Learn how to use Discriminated Unions, Generic Components, the infer keyword, and Strict Context API patterns.

PUBLIC2026-08-25002 SIG

Deep Dive into the V8 Engine: How JavaScript Execution Actually Works

An exhaustive look under the hood of the V8 JavaScript engine. Learn about the Ignition interpreter, TurboFan compiler, Hidden Classes, and Orinoco Garbage Collector.

PUBLIC2026-08-25002 SIG

Mastering GraphQL at Scale: Federation, Caching, and Performance

A comprehensive guide to scaling GraphQL APIs using Apollo Federation, solving the N+1 problem with DataLoader, Edge Caching, and query complexity analysis.

PUBLIC2026-08-25002 SIG

Building Resilient Event-Driven Architectures with Apache Kafka

A deep dive into building fault-tolerant event-driven systems using Apache Kafka. Learn about partitions, dead letter queues, idempotence, and schema evolution.

PUBLIC2026-08-25002 SIG

Mastering Redis: Caching, Pub/Sub, and Advanced Data Structures

An in-depth guide to Redis covering advanced data structures, caching strategies, distributed locks, and pub/sub for high-performance applications.

PUBLIC2026-08-25002 SIG

Practical Database Indexing: Why Your Queries Are Slow

A practical guide to database indexing. We cover B-Trees, composite indexes, and how to use EXPLAIN to optimize slow queries in Postgres.

PUBLIC2026-08-25002 SIG

Designing Distributed Systems at Scale

A practical look at how to architect and scale distributed systems. We cover everything from the CAP theorem to database sharding and event-driven patterns.

PUBLIC2026-08-25002 SIG

Scaling Node.js Microservices

Real-world patterns and strategies for scaling Node.js microservices to handle high traffic.

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