I am a versatile mobile application developer with 4+ years of experience in native Android, Kotlin/Java, RESTful API integrations, Firebase services, and production-grade government and international client projects. I also work with AI-powered mobile app concepts including computer vision, smart automation, ML model integration, AI assistants, image analysis, and intelligent user experiences.
A strong mobile-first stack covering native Android, cross-platform development, APIs, Firebase, backend integration, and AI/ML foundations.
Production-ready Android applications with modern UI, app lifecycle handling, architecture patterns, and clean implementation.
Growing expertise in React Native and Expo with strong ability to implement polished screens from Figma designs.
API integration, Firebase services, local storage, and backend support for mobile application deployments.
Ability to design mobile apps that use AI features such as image recognition, smart recommendations, automated summaries, voice-based flows, and chatbot-style assistants.
Hands-on project experience with real-time camera-based detection systems using Python, OpenCV, and ML concepts for practical safety and monitoring use cases.
Experience-oriented understanding of connecting mobile apps with AI APIs, Firebase, backend services, and ML workflows to create intelligent application features.
Hands-on experience across government, healthcare, training, remote collaboration, Android engineering, and AI-assisted development.
Projects that show practical engineering ability, real-world problem solving, and applied AI/ML understanding.
A real-time computer vision system built with Python and OpenCV to detect face mask usage and measure social distancing in live video. The project supported public health safety during COVID-19 through automated visual monitoring.
BS Computer Science
Government College University Faisalabad
Oct 2016 — Dec 2020
Machine Learning with Python – Cognitiveclass.ai / IBM
Machine Learning & Python Programming – Technet Pakistan
Modern AI project directions Hassan can present as part of his mobile development profile.
Mobile applications with AI assistant features for customer support, FAQs, learning, business automation, and guided user journeys.
Apps that analyze images from camera or gallery for detection, classification, safety monitoring, inspection, and visual decision support.
Concepts for voice-enabled apps including speech-to-text, voice commands, narration, audio processing, and smart voice interaction.
Apps that summarize text, PDFs, reports, articles, and learning content to help users save time and understand information faster.
Personalized mobile experiences using user behavior, saved data, preferences, and intelligent recommendation logic.
GIS-based mobile apps with geo-tagging, image proof, location validation, monitoring dashboards, and intelligent field reporting.
Available for Android, React Native, Firebase, API integration, GIS/geo-tagging, and AI-assisted mobile application projects.