
Hameed ullah
@hameedullah
Computer Science graduate from NUST who completed an AI-based wearable fall prediction system using IMU sensor data.
What I'm looking for
At NUST, I completed an AI-based wearable fall prediction system for hypertensive patients. It uses IMU sensors to collect and analyze human-motion data for fall-risk prediction.
On the project, I worked with wearable sensing, data acquisition and preprocessing, signal-processing concepts, and AI-based predictive analysis. The system was designed for real-time monitoring and alerting.
During my internship at Nokia, I gained practical exposure to 100G optical networking and telecommunications infrastructure. I also studied mobile-network evolution from 2G through 5G, along with IP routing and network operations.
I’ve also developed a Flutter digital wallet application, an anti-sleep alert glasses prototype, a C++ Pacman game, and a Python media player. I’m seeking an entry-level opportunity in AI/ML, data science, software engineering, backend development, or a related technology role.
Experience
Work history, roles, and key accomplishments
Intern
Gained practical exposure to 100G optical networking and telecommunications infrastructure. Studied mobile-network evolution from 2G through 5G and developed foundational understanding of IP routing and enterprise network architecture.
Education
Degrees, certifications, and relevant coursework
National University of Sciences and Technology (NUST-NBC)
Bachelor of Science, Computer Science
Grade: 2.69/4.00
Bachelor of Science in Computer Science with a focus on AI, data science, and software development. Completed a final year project on an AI-based wearable fall prediction system.
Availability
Location
Authorized to work in
Salary expectations
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