Wajahat Haider

I’m an AI/ML-focused Python developer who builds practical models and computer-vision systems, with hands-on experience completing advanced AI/ML learning tasks and CS50 AI projects from Harvard.

In my Python Developer Intern role at Netsol Technologies, I developed and refined machine-learning models—such as a shopping revenue predictor—by improving data preprocessing, the training workflow, and model accuracy. I also built and tested a traffic-signal recognition system using computer vision techniques and classification algorithms.

I take ownership of problem-solving: I research concepts, debug issues, and implement solutions independently, while following project requirements and not relying on external libraries beyond what’s needed. I collaborate with mentors for feedback, especially when tasks are designed specifically for skill-building.

Alongside my internship work, I continue shipping projects like a Flutter-based AgriScan app using a Convolutional Neural Network for plant disease detection, plus digit recognition and other applied ML work. I’m currently studying BS CS at Bahria University, and I’m eager to keep growing into production-ready AI and vision solutions.