Muhammad Shahnawaz
Senior AI And Machine Learning Engineer at STMicroelectronics France
Paris, Ile-de-France
Summary
👤
Senior🎓
Top SchoolMuhammad 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.
9 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 MilanoMaster 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
Stackoverflow
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Github Skills (22)
person-detection10
convolutional-neural-networks10
stm32f410
stm32h710
stm32f710
st10
stm32cube9
ai9
keras9
stm9
nvidia8
tao8
human-activity-recognition7
arm6
computer-vision6
Programming languages (3)
Github contributions (5)
Shahnawax/HAR-CNN-Keras
Sep 2017 - Jan 2019
Human Activity Recognition Using Convolutional Neural Network in Keras
Contributions:15 commits, 16 pushes, 1 branch in 1 year 3 months
convolutional-neural-networkshuman-activity-recognitionkeras
STMicroelectronics/stm32ai-tao
Jun 2023 - May 2025
Nvidia TAO (Train, Adapt, Optimize) with STM32Cube.AI Developer Cloud
Contributions:5 pushes, 5 tags in 1 year 11 months
ainvidiastm32cubecomputer-visionnvidia-tao-toolkit
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