Open to opportunities

Uzair Ahmad

@uzairahmad3

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AI/ML-focused computer science graduate building real-time computer vision systems and analytics dashboards.

Pakistan

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What I'm looking for

Seeking an AI/ML, Computer Vision, or Data Analytics role to apply my technical and analytical skills in real-world projects—building systems that combine robust modeling with practical dashboards and integrations.

I’m a Computer Science graduate (CGPA: 3.83) specializing in Artificial Intelligence, Computer Vision, Deep Learning, and end-to-end Machine Learning pipelines. I’ve built real-time traffic monitoring systems using YOLO architectures, implemented license plate recognition, and developed AI-powered analytics dashboards that turn detections into actionable insights.

In my Machine Learning Intern role, I developed a CNN-based Traffic Sign Recognition model and built predictive analytics models like Loan Approval Prediction and Student Score Prediction. I’m hands-on with tools like TensorFlow, Keras, PyTorch, OpenCV, and SQL, and I care about delivering reliable, deployable solutions—supported by strong academic performance and AI-focused ACM UET fellowship experience.

Experience

Work history, roles, and key accomplishments

Machine Learning Intern

Elevvo

Sep 2025 - Oct 2025 (1 month)

Developed a CNN-based traffic sign recognition model for autonomous driving applications. Built predictive analytics models for loan approval prediction and student score prediction using machine learning techniques.

Machine Learning Predictive Analytics Loan Approval Student Score Prediction

Education

Degrees, certifications, and relevant coursework

University of Engineering and Technology, Taxila

Bachelor of Science, Computer Science

2022 - 2026

Grade: CGPA: 3.83 / 4.00

Activities and societies: Specialization in Artificial Intelligence, Computer Vision, Deep Learning, and end-to-end Machine Learning pipelines; FYP on real-time smart traffic monitoring.

B.S. in Computer Science with a CGPA of 3.83/4.00. Focused on AI/ML and computer vision, including end-to-end ML pipelines and real-world traffic monitoring applications.