Mehdi Khairy
Ingénieur R&D RF at Simpulse
Greater Paris Metropolitan Region France
Summary
👤
Senior🎓
Top SchoolMehdi Khairy is an RF and embedded systems R&D engineer with 15 years’ experience designing low-power radio hardware, FPGA-based systems and production test benches across startups and industrial teams in the Greater Paris area. Founder of Skunk RF and previously Simpulse and SDR-Technologies, he blends hands-on schematic/PCB design, Verilog/FPGA development and C firmware with field diagnostics and long-duration measurement campaigns. He’s contributed backend automation and multi-threaded optimizations to the well-known prjxray project documenting Xilinx 7-series bitstreams, showing a knack for tooling and build-process improvements. Comfortable moving between prototype and production, he has repeatedly shipped gateway and IoT devices, FTTH test equipment and radio qualification studies (FSK, NB-FSK, LoRa). Colleagues value his habit of using every project—personal or professional—to learn new tools and push low-power radio or FPGA architectures further. Fluent in embedded and RF tradecraft, he combines pragmatic debugging skills with entrepreneurial initiative.
15 years of coding experience
2 years of employment as a software developer
DUT, Informatique, DUT, Informatique at Paris-Sud University (Paris XI)
French, English
Github Skills (12)
fpga10
automation10
vivado10
automations10
tcl10
toolchain10
python9
bitstream9
python-multiprocessing8
multi-process8
multiprocessing8
tix8
Programming languages (6)
Github contributions (5)
f4pga/prjxray
Jan 2019 - Jan 2019
Documenting the Xilinx 7-series bit-stream format.
Role in this project:
Back-end Developer & Automation Engineer
Back-end Developer & Automation EngineerContributions:10 commits, 5 PRs, 43 comments in 11 days
Contributions summary:Mehdi primarily focused on fixing bugs and optimizing the build process for the fuzzers within the prjxray project. They addressed issues related to build directories and job splitting. Additionally, the user implemented multi-threading optimizations to improve the fuzzer's performance by parallelizing the execution of tasks, leading to faster processing of FPGA data.
vivadoartix7xilinxsymbiflowxilinx-fpga
natsfr/kicad-components
Oct 2010 - Nov 2022
Contributions:238 commits, 203 pushes in 12 years 3 months
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