Shafquat Mahbub is a Lead Engineer based in Dhaka with 8 years of experience building production-grade AI and computer vision systems, particularly for medical imaging and mission-critical mobile apps. At Samsung R&D Bangladesh he helped deliver the world’s first real-time AI feature for bowel wall thickness measurement and optimized segmentation models for real-time inference using ONNX and OpenVINO. He combines deep learning research (PyTorch, GANs, diffusion models) with systems engineering—authoring C++ DLLs and desktop integrations and shipping iOS features for large-scale emergency communications. Notable accomplishments include runner-up finishes in Samsung AI contests for generative medical imaging and delivering features used by millions of first responders. He has a practical focus on model optimization for inference (TensorRT/ONNX) and pipeline maintainability (PyTorch Lightning), enabling clinical-grade reliability. Comfortable bridging research and product, he thrives on turning complex medical imaging challenges into deployable solutions.
8 years of coding experience
4 years of employment as a software developer
Bachelor of Science, Computer Science and Engineering, Bachelor of Science, Computer Science and Engineering at University of Rajshahi
Arabic, English, Spanish, Korean, Bengali, Hindi, Urdu, Japanese
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