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  • 👋 Hi, I’m Mehdi, an engineer and researcher living in Tokyo!
  • 👀 I’m interested in real-time and embedded systems
  • 🌱 I have over 10 years of academic and industrial experience and I’m currently focused on the acceleration of Neural Networks on Edge devices (ARM and FPGA)
  • 💞️ I’m looking to collaborate on projects related to embedded software for deep learning, robotics or IoT as well as hardware designs on FPGA
  • 📫 You can reach me and learn about my projects on https://trajm.github.io/

Mehdi Trabelsi Ajili's Projects

deepsense icon deepsense

Deepsense: a unified deep learning framework for time-series mobile sensing data processing.

ese-coursera-course1 icon ese-coursera-course1

This is a repository for all Course 1 demos and assessment start files for the Embedded Software Essentials Specialization.

hhar-data-process icon hhar-data-process

Code for data processing used for the experiment in paper "Deepsense: a unified deep learning framework for time-series mobile sensing data processing"

hls4ml icon hls4ml

Machine learning in FPGAs using HLS

trajm icon trajm

Config files for my GitHub profile.

vitis-ai icon vitis-ai

Vitis AI is Xilinx’s development stack for AI inference on Xilinx hardware platforms, including both edge devices and Alveo cards.

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