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Kini99/README.md

Hi 👋, I'm Kinjal Momaya

AI Engineer & Full Stack Developer | MERN & React Native | LLM & RAG Specialist

Portfolio • GitHub • LinkedIn • Email

🚀 About Me

  • 🧑‍💻 AI Engineer & Full Stack Developer with 1.9+ years of experience.
  • ⚡ Skilled in LLM integration, RAG pipelines, Multi-Agent workflows, Vector Databases, and scalable real-time apps.
  • 🌱 Building projects at the intersection of AI + Web and Mobile Development.
  • 📱 MERN & React Native Developer with strong problem-solving and CI/CD pipeline expertise.

🛠️ Skills

AI & Data
LangChain • LangGraph • LangSmith • HuggingFace • n8n • Ollama • PyTorch • Pandas • Vector DBs (Chroma, Pinecone, Weaviate)

Frontend
JavaScript • TypeScript • React.js • React Native • Redux • Tailwind CSS

Backend
Python • Node.js • Express.js • FastAPI

Databases
MongoDB • PostgreSQL • MySQL • WatermelonDB

Other Tools
Git • CI/CD • REST API Development • Firebase • DSA

💡 Featured Projects

📘 Intelligent LMS Support System

  • Automated 70–80% of student queries, reducing workload by 3–4x.
  • Reduced query resolution time from 2–6 hours → <2 minutes with multi-agent workflows & semantic caching.
  • Stack: LangGraph | LangChain | FastAPI | Next.js | Redis | MongoDB | Pinecone

🛍️ Social Conversational Commerce Automation

  • Built an AI-driven WhatsApp commerce framework automating ~80% of catalog & order queries.
  • Improved response time by 90% and boosted lead conversions via smart FAQ, order tracking & escalation.
  • Stack: n8n | Twilio WhatsApp API | Pinecone | MongoDB

💎 Freelance Project – Drishti Jewels

  • Designed and deployed a production-ready e-commerce platform with modern UI & backend integrations for a small jewellery business.
  • Stack: next.js | node.js | mongodb

💼 Professional Experience

Software Developer – Rejolut Technology Solutions (Oct 2023 – Jul 2025)

  • Built a real-time mobile & web app with advanced animations, scaling to 10k+ concurrent users.
  • Integrated messaging, media sharing, audio/video calling with Socket.IO, MediaSoup, Firebase.
  • Developed an AI-powered RAG HR chatbot, reducing support load significantly.

📊 GitHub Stats

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  1. AI_Powered_Support_System AI_Powered_Support_System Public

    This is a production-ready AI-powered support system for Masai School's LMS that automates 70-80% of support ticket resolution.

    TypeScript 4

  2. Social-Commerce-Automation Social-Commerce-Automation Public

    A Smart Conversational Agent Layer on top of WhatsApp, using n8n workflows, Twilio WhatsApp API, and Pinecone Vector DB

    4

  3. MisogiAI-interactive-prompt-playground MisogiAI-interactive-prompt-playground Public

    An interactive web application that allows users to experiment with different parameters for generating product descriptions using OpenAI's GPT models.

    HTML 4

  4. MisogiAi-VS-Code-Extension MisogiAi-VS-Code-Extension Public

    Intelligent VS Code extension that mimics Cursor IDE's AI assistant functionality using LangGraph for agent orchestration and state management.

    TypeScript 4

  5. MisogiAi-RAG-Langchain-Langsmith MisogiAi-RAG-Langchain-Langsmith Public

    This project implements an AI-powered Retrieval-Augmented Generation (RAG) assistant for banks, capable of answering questions about loan products, regulatory requirements, and internal policies.

    Python 4

  6. PrepAI PrepAI Public

    PrepAI is an AI-powered self-interview preparation platform designed to empower job seekers and interviewees in mastering their interview skills.

    JavaScript 9 3