Marc Bermejo

Chief Technology Officer Senior Principal Engineer at Satlantis US

Gainesville, Florida, United States
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Summary

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Senior
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Top School
Marc Bermejo is a CTO and seasoned systems engineer with a decade of experience building end-to-end embedded and cloud systems for consumer, industrial, and aerospace markets. He leads AI-driven image processing and ultra-high-resolution algorithms for microsatellite Earth observation, including novel methane-detection capabilities, while overseeing multi-team HPC software development and budgets. His hands-on background spans Linux kernel and bootloader development, real-time C on flight systems, Xilinx MPSoC high-speed imaging, and cloud ground-segment architectures on AWS. Marc combines systems-level rigor with product focus—delivering in-flight update mechanisms that reduced uplink sizes to kilobytes—and mentors teams to raise code quality and operational reliability. Based in Gainesville, FL, he augments his engineering foundation with postgraduate deep-learning training to bridge embedded hardware constraints and modern AI solutions.
code10 years of coding experience
job6 years of employment as a software developer
bookPostgraduate Degree, Artificial Intelligence with Deep Learning, Postgraduate Degree, Artificial Intelligence with Deep Learning at UPC School (Universitat Politècnica de Catalunya)
bookBachelor of Science in Engineering - BSc, Internet Technologies, Bachelor of Science in Engineering - BSc, Internet Technologies at FH Joanneum
bookUPC Universitat Politècnica de Catalunya
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Github Skills (42)

epsilon9
firmware8
gpgpu7
generative-adversarial-network7
arrayfire7
arduino7
opencl7
cpp7
cuda6
scientific-computing6
3d-printing6
node-api6
gpu6
csi5
nodejs5

Programming languages (6)

C++CCMakeJavaScriptGoPython

Github contributions (5)

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Contributions:1 push, 1 branch in 9 months
Enchanced SuperRessolution using a GAN model with a residual-on-residual generator
Contributions:1 release, 127 commits, 5 PRs in 2 months
pytorchdeep-learninggenerative-adversarial-networkresidualgan
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