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Nabeel H. - Fullstack Developer, Data Analysis, nextjs

At Softaims, I’ve found a workplace that thrives on collaboration and purposeful creation. The work we do here is about more than technology—it’s about transforming ideas into results that matter. Every project brings a mix of challenges and opportunities, and I approach them with a mindset of continuous learning and improvement. My philosophy centers around three principles: clarity, sustainability, and impact. Clarity means designing systems that are understandable, adaptable, and easy to maintain. Sustainability is about building with the future in mind, ensuring that the work we do today can evolve gracefully over time. And impact means creating something that genuinely improves how people work, connect, or experience the world. One of the most rewarding aspects of working at Softaims is the diversity of thought that every team member brings. We share insights, question assumptions, and push each other to think differently. It’s this culture of curiosity and openness that drives the quality of what we produce. Every solution we deliver is a reflection of that shared dedication. I’m proud to contribute to projects that not only meet client expectations but also exceed them through thoughtful execution and attention to detail. As I continue to grow in this journey, I remain focused on delivering meaningful outcomes that align technology with purpose.

Main technologies

  • Fullstack Developer

    1 year

  • Computer Vision

    1 Year

  • Android

    1 Year

  • iOS

    1 Year

Additional skills

  • Computer Vision
  • Android
  • iOS
  • Machine Learning Model
  • Mobile App Development
  • Optical Character Recognition
  • React Native
  • AI App Development
  • API Integration
  • Google Cloud Platform
  • Python
  • Full-Stack Development
  • OpenCV
  • Tesseract OCR
  • Supabase
  • Data Engineering
  • Data Science
  • Data Analysis
  • nextjs

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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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