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sriram23/README.md

Sriram B

Frontend Engineer (6+ yrs) building high-performance, scalable interfaces with React and TypeScript.

I focus on frontend architecture, rendering performance, real-time applications, and building reliable user experiences around asynchronous data.


Featured Work

Sudeshi AI Chat

A multilingual AI chat application built with Next.js, designed around real-time streaming, provider abstraction, conversation memory, and frontend performance.

  • ⚑ Built real-time AI response streaming using SSE
  • πŸ”„ Designed state-machine-driven async workflows for reliable streaming
  • πŸš€ Optimized large chat histories using virtualization and memoization
  • 🧠 Built token-aware conversation memory and summarization
  • πŸ“Š Added streaming metrics including TTFB and tokens/sec
  • 🎯 Designed for low-latency, high-frequency UI updates

πŸ‘‰ Repository


Engineering Focus

  • React performance β€” rendering behavior, virtualization, memoization
  • Frontend architecture β€” scalable UI systems and state management
  • Real-time applications β€” SSE, streaming, and asynchronous workflows
  • API-driven interfaces β€” GraphQL, REST, and client-side data management
  • Frontend modernization β€” migrations, dependency upgrades, and performance improvements

Tech

React TypeScript Next.js JavaScript
GraphQL Zustand Apollo Client Vite
Tailwind CSS SSE Node.js


Writing

I write about frontend engineering, JavaScript fundamentals, performance, and things I learn while building real applications.

πŸ‘‰ Hashnode


Connect

πŸ‘‰ LinkedIn

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  1. sudeshi-ai-chat sudeshi-ai-chat Public

    Production-ready AI chat platform demonstrating streaming, provider abstraction, conversation memory, and scalable frontend architecture.

    TypeScript 1