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Nabeel H. React Native, AI and Cloud Platforms

My name is Nabeel H. and I have over 1 years of experience in the tech industry. I specialize in the following technologies: Computer Vision, Android, iOS, Machine Learning Model, Mobile App Development, etc.. I hold a degree in Bachelor of Computer Science (BCompSc), Bachelor's degree. Some of the notable projects I’ve worked on include: Snap&Trace Web App, AI Player Performance Analysis for Padel Sports, Full Stack Development - Node JS, React JS, Express JS, MongoDB, Full Stack Mobile App Development, Pasapo, etc.. I am based in Hafizabad, Pakistan. I've successfully completed 24 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

  • React Native, AI and Cloud Platforms

    1 year

  • Computer Vision

    1 Year

  • Android

    1 Year

  • iOS

    1 Year

Additional skills

Direct hire

Potentially possible

Previous Company

10Pearls

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Experience Highlights

Snap&Trace Web App | Full Stack - Node JS, React/Next JS, MongoDB

Developed Snap&Trace, a full-stack web application built with Next.js, React, Node.js, Tailwind CSS, and MongoDB. Delivered a responsive, high-performance platform with dynamic UI/UX, secure authentication, and robust backend APIs. Implemented server-side rendering (SSR) for speed and SEO, plus cloud-hosted database integration for real-time data management. Deployed on Vercel with CI/CD for scalability. Handled end-to-end development: frontend, backend, API integration, testing, and deployment.

AI Player Performance Analysis for Padel Sports | Computer Vision

Built an AI-driven video analytics platform for padel sports that performs real-time player tracking, shot-type classification (forehand/backhand), and tactical labeling (attacking vs defensive). Generates court-coverage heatmaps, performance metrics, and coach-ready insights for data-driven training. Implemented robust deep-learning pipelines using PyTorch, TensorFlow, OpenCV, and Ultralytics for accurate match analysis and automated highlight extraction.

Full Stack Development - Node JS, React JS, Express JS, MongoDB

Delivered a MERN stack hygiene monitoring platform with responsive website and interactive dashboard. Features include real-time camera feeds, heatmap visualization, incident reporting, hygiene scoring, and analytics. Developed for scalability, secure access and high performance helping businesses improve compliance, safety, and operational efficiency.

Full Stack Mobile App Development | Unified TSN

Welcome to Unified TSN, the ultimate networking platform designed exclusively for university students. Through app, connecting with other students, graduates and tutors has never been easier. Whether you're seeking study buddies, mentors, friends or academic help! As a student entrepreneur, advertise your business and grow your customer base for your venture! Unified TSN is your go-to destination as a university student.

Pasapo | MERN - Node.js, MongoDB, Python Selenium, iOS

I've developed Pasapo, a mobile-first automation tool for Airbnb hosts in Turkey to streamline mandatory police data submission. Features include multi-property/room management, credential storage, guest registration, automated backend submission via Python + Selenium, and real-time status checks. Built with iOS, Node.js, MongoDB, Firebase, React Dashboard, and hosted on AWS/Heroku/DigitalOcean. Provides scalability, smart validation, and instant notifications.

Education

  • University of Lahore

    Bachelor of Computer Science (BCompSc) in

    2013-01-01-2017-01-01

  • Punjab College

    Bachelor's degree in

    2010-01-01-2012-01-01

Languages

  • English
  • Urdu

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