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PuneetShivaay/README.md

Hi 👋, I'm Puneet Kumar

Software Engineer | Frontend Engineer | React.js · Next.js · TypeScript | Exploring AI Engineering

Portfolio • LinkedIn • PetMets

👨‍💻 About Me

I'm a Software Engineer with 5+ years of professional experience, focused primarily on frontend engineering and building maintainable, user-focused web applications.

  • ⚛️ Working with React.js, Next.js, JavaScript, and TypeScript
  • 🧩 Interested in reusable UI architecture, component design, and scalable frontend systems
  • 🔌 Experience with REST APIs, authentication flows, debugging, performance analysis, and production support
  • 🤖 Expanding into AI Engineering, with hands-on projects around Agentic AI, RAG, LLM applications, MCP, and AI agent SDKs
  • 🌱 I learn best by building real projects and documenting what I discover

🛠️ Tech Stack

⚛️ Frontend

React Next.js JavaScript TypeScript HTML5 CSS3 Tailwind CSS

⚙️ Backend & Cloud

Node.js REST APIs Firebase Vercel

🤖 AI Engineering

LLM Applications RAG OpenAI Qdrant AI Agents MCP

🔧 Engineering & Observability

Git GitHub Jira Splunk Dynatrace

📚 Additional Experience

Python · Flutter · Dart · SSO · SAML · Azure App Proxy · Google Apps Script

🌟 Featured Projects

A Flutter + Dart WebView template for turning an existing responsive website into a cross-platform mobile app. Supports Android, iOS, and web project structures, with a configurable website URL and application title.

⭐ 26 stars · 🍴 14 forks

🐾 PetMets

A pet community and services platform designed to help pet parents connect with other pet owners, discover pet services, arrange playdates, and manage pet-related activities.

🌐 Live: https://www.petmets.in/

An in-progress graph-first AI agent SDK in TypeScript exploring graph-native memory, event-driven architecture, agent orchestration, tool execution, guardrails, and observability.

An Advanced RAG system for searching SRT/VTT course subtitles and returning grounded answers with lesson and timestamp citations. Implements retrieval patterns including HyDE, Step-Back Prompting, Parallel Query Fan-Out, and Reciprocal Rank Fusion (RRF) using OpenAI and Qdrant.

A Python deep-learning chatbot project that maps user-provided symptom inputs to possible disease classes using an artificial neural-network-based model.

⭐ 17 stars · 🍴 14 forks

🤖 Currently Exploring

Agentic AI · LLMs · Retrieval-Augmented Generation (RAG) · Model Context Protocol (MCP) · AI Agent SDK Development · Evaluation & Observability

🌐 Portfolio

Explore more of my work and experience:

https://puneetshivaay.vercel.app/

Build. Learn. Improve. Repeat. 🚀

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  1. Convert-Website-into-App Convert-Website-into-App Public

    A Flutter-based mobile app template that converts any website into an Android or iOS app using WebView.

    Dart 27 15

  2. Deep-Learning-Based-Chatbot-For-Medical-Assistance Deep-Learning-Based-Chatbot-For-Medical-Assistance Public

    A Deep Learning based chatbot model used for medical assistance. It's Python-based deep learning chatbot that analyzes user-provided symptoms and predicts possible diseases using a trained neural n…

    Python 17 14

  3. PetMets PetMets Public

    A modern pet community platform connecting pet owners through playdates, friendships, pet services, and AI-powered experiences.

    TypeScript 1

  4. Otical Otical Public

    The official Otical website, built with Next.js and Tailwind CSS and deployed on Vercel.

    JavaScript 2

  5. CourseAI CourseAI Public

    AI-powered search engine over course subtitles (SRT/VTT) using Advanced RAG patterns (HyDE, Step-Back, Parallel Fan-Out, RRF) with exact lesson & timestamp citations.

    JavaScript

  6. SynapseFlow SynapseFlow Public

    Build Your Own Agent SDK : A graph-first AI agent SDK with autonomous memory management and multi-agent orchestration

    TypeScript