Nicolas Blin
GNC Engineering at Commissariat a l'Energie Atomique et aux Energies Alternatives
Paris, Ile-de-France
Summary
👤
Senior🎓
Top SchoolNicolas Blin is an aspiring Guidance, Navigation & Control engineer and aerospace enthusiast with a decade of hands-on experience across flight software, embedded systems, and robotic platforms. Currently working in GNC at CEA, he has developed real-time C software for CubeSat flight systems, implemented an I2C controller in VHDL on FPGA, and contributed to an ion thruster communication stack for a 6U mission. His background blends rigorous aerospace education (ESTACA, Purdue with a 4.0 GPA) and leadership in student projects—designing autonomous rovers and award-winning helium airships where he led embedded programming and system integration. Comfortable across low-level firmware, FPGA design, and system-level testing, he pairs technical depth with practical manufacturing and operations experience from internships at industry players like Flying Whales and Stellantis. Notably, he translates competition-driven innovation into durable testbeds and educational platforms, demonstrating an ability to move from prototypes to mission-capable systems.
10 years of coding experience
Engineering Degree, Aerospace, Aeronautical and Astronautical Engineering, Engineering Degree, Aerospace, Aeronautical and Astronautical Engineering at ESTACA - Ecole Supérieure des Techniques Aéronautiques et de Construction AutomobileAero and Astro engineering, GPA 4.0/4.0, Aero and Astro engineering, GPA 4.0/4.0 at Purdue UniversityBaccalauréat, PHYSICAL SCIENCES, Baccalauréat, PHYSICAL SCIENCES at Lycée Montalembert Courbevoie
Github Skills (8)
convolutional-neural-networks10
computer-graphics10
python10
image-classification10
neural-network9
deep-learning9
data-science2
machine-learning2
Programming languages (1)
Github contributions (5)
NicoRahm/Data-Challenge
Oct 2016 - Nov 2016
Contributions:47 commits, 8 PRs, 27 pushes in 28 days
pythondata-scienceecoleaxamachine-learning
NicoRahm/CGvsPhoto
Apr 2017 - Oct 2018
Computer Graphics vs Real Photographic Images : A Deep-learning approach
Contributions:1 release, 596 commits, 576 pushes in 1 year 6 months
computer-graphicsdeep-learningneural-networkimage-classificationimage-forensics
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