Muhammad Hassan Saleem

Engineered a Computer-Aided Process Planning (CAPP) system, employing machine learning to optimize manufacturing by generating process plans from CAD models and customer data. Developed an automated CAD parts dataset generator, streamlining the creation of accurate, application-ready datasets for enhanced machine learning model training and process optimization and built ML model for Feature prediction of CAD parts.

I've developed Python-based ML models using scikit-learn, TensorFlow, and Keras. Applied computer vision techniques with OpenCV and PyTorch for object detection. Created efficient data pipelines for large datasets and conducted performance experiments. Proficient in Docker for ML model portability.

Proficient in Python, with strong project experience, scripting, and application maintenance. Skilled in software tools, Docker, and web development using Django and Flask. Proficient in data manipulation with NumPy, Pandas, and Matplotlib.

Testing Automobiles and Supervise Activities of Mechanical Workers