Muhammad Ahmed is a Senior Software Developer based in Heidelberg with nine years of experience building production-grade systems and applied AI solutions. Currently at SAP he led the engineering of a cloud-native selective data transfer feature for SAP Cloud ALM, contributing from initial design to general availability and resolving deep stack-level performance issues. His background blends research and industry work in deep learning, NLP, OCR and computer vision—having contributed to OCR-D tooling at DFKI and built vehicle-surveillance and plate-recognition systems. Proficient in Python, PyTorch, Keras and C-family languages, he focuses on data mining and deep learning for perceptron-style models while also shipping scalable backend services. Colleagues describe him as a pragmatic engineer who bridges architectural decisions and hands-on implementation. He combines academic rigor from a master's in computer science with practical experience turning ML prototypes into reliable, cloud-native products.
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