Summary
Muhammad Shahnawaz is a Senior AI and Machine Learning Engineer with a Ph.D. in Acoustics from Politecnico di Milano and eight years of experience bridging academic research and industrial R&D. He specializes in signal processing and TinyML, bringing AI from GPUs to resource-constrained STM32 microcontrollers while optimizing computer vision and sensing pipelines. A polyglot coder (MATLAB, C/C++, Java, Python), he blends deep learning expertise with hands-on deployment skills and a track record of teaching and supervising at university level. His research background in personalized 3D audio and HRTF modeling informs practical sensing solutions, giving him a unique edge in audio-aware AI systems. Based in Paris, he is driven to become a world-class leader in signal processing and edge AI, focused on impactful, real-world deployments.
8 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy (PhD), Acoustics, Doctor of Philosophy (PhD), Acoustics at Politecnico di Milano
Master of Science (MS), Electrical Engineering, 3.85, Master of Science (MS), Electrical Engineering, 3.85 at National University of Sciences and Technology (NUST)
BS(Telecommunication Engineering), Telecommunications Engineering, 3.49, BS(Telecommunication Engineering), Telecommunications Engineering, 3.49 at National University of Computer and Emerging Sciences
English, Italian, Urdu, Hindi, Punjabi