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Naveed J. JavaScript, Node.js and Mobile Platforms

My name is Naveed J. and I have over 1 years of experience in the tech industry. I specialize in the following technologies: Web Application, JavaScript, TypeScript, NestJS, node.js, etc.. I hold a degree in Bachelor's degree. Some of the notable projects I’ve worked on include: HotelAssist AI – RAG-Powered Hotel Concierge Chatbot, Vision AI Bulb Count on Cake, Ultralytics, Yolov8, Equipmate (SAAS), Pos (Point of Sale ), Manage Grocery store Business. I am based in Lahore, Pakistan. I've successfully completed 5 projects while developing at Softaims.

My passion is building solutions that are not only technically sound but also deliver an exceptional user experience (UX). I constantly advocate for user-centered design principles, ensuring that the final product is intuitive, accessible, and solves real user problems effectively. I bridge the gap between technical possibilities and the overall product vision.

Working within the Softaims team, I contribute by bringing a perspective that integrates business goals with technical constraints, resulting in solutions that are both practical and innovative. I have a strong track record of rapidly prototyping and iterating based on feedback to drive optimal solution fit.

I’m committed to contributing to a positive and collaborative team environment, sharing knowledge, and helping colleagues grow their skills, all while pushing the boundaries of what's possible in solution development.

Main technologies

  • JavaScript, Node.js and Mobile Platforms

    1 year

  • Web Application

    1 Year

  • JavaScript

    1 Year

  • TypeScript

    1 Year

Additional skills

Direct hire

Potentially possible

Previous Company

InvoZone

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Experience Highlights

HotelAssist AI – RAG-Powered Hotel Concierge Chatbot

I built an intelligent hotel assistant chatbot using a Retrieval-Augmented Generation (RAG) system designed specifically for hospitality businesses. This AI assistant allows hotel guests to ask natural-language questions about the hotel, such as: “What time is breakfast served?” “How do I order room service?” “What are the amenities offered?” “When is checkout?” The chatbot provides accurate, real-time responses based on hotel-specific documents and data.

Vision AI Bulb Count on Cake, Ultralytics, Yolov8

Count Bulb on each cake using yolov8 model.

Equipmate (SAAS)

EquipMate is the CMMS software, helping businesses track equipment health and timely maintenance with powerful analytics and user-centric dashboards, enabling automatic real-time monitoring and resolution of maintenance tasks.

Pos (Point of Sale )

This is a cloud-based point of sale (POS) software, developed for Christmas Markets 2022 (aka Magisch Maastricht) in Maastricht, Netherlands, It provides robust order management, inventory management, reporting, and analysis. It facilitates all kinds of transactions having seamless integration with multiple payment processors. It also supports virtual cards (RFID Cards), Pin Terminals, QR Code readers, and other hardware integration. It offers a friendly interface for cashiers and operators. It also gives extensive control & management to administrators through Admin Panel.

Manage Grocery store Business

Project description The Grocery Management System is a web-based application built using Node.js, React, and MongoDB. It is designed to simplify and streamline the management of grocery stores, providing a comprehensive solution for inventory management, order processing, and customer management. Key Features: User Registration and Authentication: The system allows users to register and create accounts with secure authentication. Registered users can log in to access personalized features and functionalities. Product Management: The application provides a user-friendly interface for managing grocery store products. Admin users can add, edit, and delete products, along with their details such as name, description, price, and quantity in stock. Inventory Management: The system enables efficient management of grocery store inventory. It keeps track of stock levels, provides real-time updates on product availability, and sends notifications when stock is running low. Shopping Cart and Order Processing: Customers can browse through the available products, add items to their shopping cart, and proceed to checkout. The system calculates the total cost, allows customers to review their order, and facilitates secure online payments. Order Tracking: Users can track the status of their orders, including order confirmation, processing, and delivery. This feature provides transparency and enhances customer satisfaction. Customer Management: The system allows the store administrators to manage customer information, including their contact details and purchase history. It enables personalized customer service and targeted marketing campaigns. Reporting and Analytics: The application generates insightful reports and analytics to help store owners gain valuable insights into sales trends, popular products, and customer behavior. This information can assist in making informed business decisions. Responsive Design: The user interface is designed to be responsive and mobile-friendly, ensuring seamless access and optimal user experience across different devices. By leveraging the power of Node.js for the backend, React for the frontend, and MongoDB for data storage, the Grocery Management System provides a scalable and efficient solution for managing grocery stores. It enhances operational efficiency, improves customer satisfaction, and helps drive business growth.

Education

  • Comsats University Islamabad,Lahore

    Bachelor's degree in

Languages

  • English
  • French
  • Italian
  • German Sign Language

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