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  • Zignuts Technolabs
  • Pale Blue Dot
  • 17:09 (UTC +05:30)
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pruthvidarji1993/README.md

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🧑‍💻 About Me

I'm a Technical Lead specializing in modern web technologies at Zignuts. I architect scalable frontend systems, mentor engineering teams, and contribute to open-source projects that solve real-world problems in the JavaScript ecosystem. Lately, I've been at the intersection of Web + AI — integrating LLMs, building AI-powered interfaces, and exploring how generative AI is reshaping the developer experience.

  • 🔭  Leading frontend architecture decisions across multiple product lines
  • 🤖  Integrating LLMs & AI agents into production web applications
  • 🌱  Currently deep-diving into AI SDKs, prompt engineering & RAG pipelines
  • 💡  Passionate about developer experience, performance optimization, and clean code
  • 🧠  Exploring MCP (Model Context Protocol), AI-assisted coding workflows & agentic UX
  • 🤝  Open to collaborating on meaningful open-source & AI-powered projects
  • ⚡  Fun fact: I believe the best AI features are the ones users don't even notice

🛠️ Tech Stack

Core Languages

JavaScript TypeScript HTML5 CSS3

Frameworks & Libraries

React Next.js React Native Angular Redux GraphQL

Styling & UI

Tailwind CSS Sass Bootstrap

Build Tools & Infra

Webpack Babel Nginx

AI & LLMs

OpenAI Anthropic LangChain Vercel AI SDK Hugging Face Ollama


🤖 AI & Innovation — What I'm Exploring

🔗 AI-Powered Web Apps

Building conversational UIs, smart search, and AI copilot features into production React/Angular apps using LLM APIs, streaming responses, and function calling.

🧩 MCP & Agentic Workflows

Experimenting with Model Context Protocol (MCP) to connect AI models to external tools — Jira, Slack, databases — enabling autonomous, context-aware agents.

📚 RAG & Knowledge Systems

Implementing Retrieval-Augmented Generation pipelines with vector databases to build smart documentation search and internal knowledge assistants.

⚡ Prompt Engineering & AI DX

Crafting structured prompts, system instructions, and evaluation frameworks to deliver reliable, production-grade AI features with predictable outputs.


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✍️ Latest from Dev.to

👉  Read more on dev.to/pruthvidarji1993


💬  "The best way to predict the future of the web is to build it — now with AI as your copilot."

If you're working on something interesting at the intersection of Web + AI, let's connect!

Let's Talk

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  1. react-js-material react-js-material Public

    React JS Learning Material including Gatsby, NEXT JS, React TS & UI components like Storybook, Material & Chakra UI

    1

  2. nextjs-boilerplate nextjs-boilerplate Public

    NEXT JS boilerplate created for initial level when we have to start with beginners & Sample Next.js app which is showing you to how to create a page in Next JS with Folder structure and other thing…

    JavaScript