Jonathan Nguyen
Software Defined Radio Systems Engineer at Astranis Space Technologies
San Jose, California, United States
Summary
👤
Senior🎓
Top SchoolJonathan Nguyen is a Software Defined Radio Systems Engineer with eight years of experience bridging academic research and satellite communications product development. Based in San Jose, he brings deep expertise in digital communications, DSP, LDPC error correction, and GNU Radio/USRP toolchains, with two published papers on optical channels and coding. At Astranis he has moved algorithms into RTL and hardware tests, standardized DSP-RTL workflows, and built practical tools like ADC FIR control APIs and visualization GUIs. His research background includes low-complexity LDPC decoders (including Information Bottleneck methods) and a C++ neural approach to decoder complexity reduction—skills he pairs with hands-on FPGA and Python tool development. Currently pursuing an MS at UCLA while contributing to commercial SDR payloads, he’s comfortable taking ideas from cluster simulations to production hardware and automation.
8 years of coding experience
1 year of employment as a software developer
Bachelor of Science - BS, Electrical and Electronics Engineering, 3.84, Bachelor of Science - BS, Electrical and Electronics Engineering, 3.84 at University of California, Los Angeles
Github Skills (3)
microscopy2
fusion2
image-processing1
Programming languages (3)
Github contributions (5)
puresoda/LLR_net
Mar 2020 - Mar 2020
Contributions:48 commits, 31 pushes, 1 branch in 15 days
puresoda/Native-Speaker-Classification
Oct 2019 - May 2020
Feature Extraction and Classification of Voice Signals
Contributions:2 PRs, 13 pushes, 2 branches in 6 months
nlpextractionmfccfeature-extractiondeep-learning
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