Building Intelligent Mobile Experiences with AI
Transforming everyday ideas into intelligent, accessible solutions through mobile development and Artificial Intelligence.
About Me
I’m a 23-year-old Pakistani Android Developer passionate about applying artificial intelligence to real-world challenges. After earning my BS in Information Technology from Government College University Faisalabad, I joined Digital Epic Studio as a Senior Android Developer, creating intelligent mobile apps that integrate on-device AI—most notably a smart vision assistant for the visually impaired.
Currently, I’m studying Mandarin Chinese at Shijiazhuang Medical College to achieve HSK 4+, preparing for a Master’s in Computer Science / Artificial Intelligence. Dedicated to continuous learning and innovation, I aim to combine technology, research, and human-centered design to make AI more accessible and impactful worldwide.
Android Development
Kotlin, Java, Android SDK, Jetpack Compose, Firebase integration, Apis, Debugging.
90%Python / ML Development
TensorFlow Lite / PyTorch, model training and evaluation.
80%Deep Learning
CNNs, NLP basics, on-device inference.
75%Computer Vision
Object detection, OCR, real-time pipelines.
50%Git & GitHub
Branching, PRs, collaborative workflows.
90%Data Analytics
Preprocessing, metrics, predictive analysis.
75%Flask / FastAPI
REST APIs for mobile-ML backends.
70%Cloud Platforms
Basic deployments on AWS / Google Cloud.
65%Resume
Work Experience
A summary of my professional journey — combining creativity, leadership, and hands-on development experience.
Senior Android Developer
- Led a team of developers in designing and developing AI-powered Android applications using Kotlin, TensorFlow Lite, and Google ML Kit.
- Integrated machine learning and computer vision models for real-time image recognition, OCR, and object detection.
- Oversaw end-to-end app architecture, from UI/UX design to deployment on Google Play.
- Collaborated with cross-functional teams to deliver projects aligned with client requirements and deadlines.
- Mentored junior developers, improving team efficiency and code quality through code reviews and best practices.
- Worked on model optimization for low-latency mobile inference, improving app performance by 30%.
Grow More
Feb, 2024 - April, 2024Android Dev Intern
- Completed an intensive internship focused on Android app development using Java and Kotlin.
- Learned fundamentals of mobile UI design, REST API integration, and Firebase-based data management.
- Contributed to the development of small-scale internal Android projects under senior developer supervision.
- Gained hands-on experience with Android Studio, debugging, and version control tools.
My Education
My academic journey has been centered around understanding core computing concepts, mastering Android development, and exploring the role of AI in modern applications.
Shijiazhuang Medical College
2025-CurrentChinese Language
- Currently enrolled in a one year Mandarin language course.
- End in june 2026.
GCUF University
2020-2024Bachelors in Information Technology
- Specialized in software development, data structures, and algorithms.
- Completed coursework in mobile app development, database management, and web technologies.
- Developed a final-year project “Smart Vision” — an AI-powered mobile app assisting visually impaired users.
Saha Group of Colleges
2018 - 2020Intermediate in Computer Science (ICS)
- Studied core subjects including Computer Science, Mathematics, and Physics.
- Built small software projects as part of coursework, sparking interest in programming and app development.
Portfolio
A collection of my featured projects showcasing creativity, functionality, and technical expertise from concept design to full app development.
Voice Trek Buddy
Android app solution to assist fully or partially impaired persons.
Trainify
Fitness tracking app designed to help users maintain a balanced lifestyle.
TradeNest
Crypto trading app designed to make digital asset trading simpler, faster, and more intuitive
Scholarship & Research Goals
Academic Objective
I aspire to pursue a Master’s degree in Artificial Intelligence or Computer Science with a focus on on-device intelligence, deep learning optimization, and human-centered AI systems. My objective is to combine technical precision with social purpose — creating intelligent systems that enhance accessibility, autonomy, and digital inclusion.
Research Interests
My core research interests include efficient neural architectures for edge and mobile environments. Computer vision applications for accessibility and safety. Integrating AI with IoT for real-time, low-power decision-making. Enhancing model interpretability and fairness for inclusive AI solutions.
Future Vision
I aim to contribute to academic and industrial research that bridges innovation with human impact. By combining applied engineering with artificial intelligence, I hope to advance the creation of responsible, explainable, and accessible AI technologies that positively influence society on a global scale.