Muhammad Subhani is a project manager and ML engineer with 8 years of experience building and deploying computer vision and deep learning systems for industrial automation. He leads end-to-end AI inspection projects—translating factory workflows into production-ready defect detection, quality control, and process monitoring solutions—while collaborating directly with engineering and production teams. Technically hands-on, he has deployed models on embedded platforms like Nvidia Jetson variants and optimized detection/segmentation models for low-power hardware using PyTorch, TensorFlow and OpenCV. His background includes academic research in domain adaptation with a paper accepted to ECCV2020, reflecting a strong bridge between research and applied engineering. Based in Pakistan with a Master’s in Electrical Engineering, he combines product-focused project management with practical MLOps/LLMOps experience to move models from prototype to robust industrial deployments.
8 years of coding experience
6 years of employment as a software developer
Engineering, Engineering at Fazaia inter college lahore
Master's degree Electrical Engineering, Master's degree Electrical Engineering at Information Technology University
Bachelor's degree Electrical and Electronics Engineering, Bachelor's degree Electrical and Electronics Engineering at The University of Lahore
Contributions:6 pushes, 1 branch in 3 years 6 months
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