Luigi Cruz
Accelerated Signal Processing Engineer
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolLuigi Cruz is an Accelerated Signal Processing Engineer in San Francisco with 12 years of experience building GPU-accelerated DSP and real-time pipelines for radio astronomy at the SETI Institute. He led CUDA-driven gains— including a 10x TurboSETI speedup—and developed a production beamforming library and interactive visualizations for the Allen Telescope Array. Comfortable across software-defined radio, microcontrollers, and FPGA, he also maintains SDR-focused open-source projects like PiSDR and contributors to RAPIDS cuSignal, improving resampling and filtering primitives. His work blends low-level optimization with system-level reliability (SDR distro build pipelines and network-resilient images), enabling continuous real-time signal ingestion and analysis. Known for hacking on signals and graphics for fun, he applies a research-minded, production-first approach to turn GPU horsepower into operational observatory tools.
12 years of coding experience
1 year of employment as a software developer
Federal University of Technology – Paraná
Portuguese, English, Spanish
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (22)
administrator10
admin10
python10
signal-processing10
bash10
resampling10
system10
script10
administration10
filter10
sys10
cupy10
build-automation10
system-administration10
filtering10
Programming languages (15)
Github contributions (5)
luigifcruz/pisdr-image
Feb 2020 - Oct 2022
🥧 A SDR Linux Distro for the Raspberry Pi and other SBC. Compatible out of the box with multiple SDR.
Role in this project:
DevOps Engineer & System Administrator
DevOps Engineer & System AdministratorContributions:41 releases, 151 commits, 24 PRs in 2 years 8 months
Contributions summary:Luigi primarily focused on modifying and maintaining build scripts and the image building pipeline for the SDR Linux Distro. Their contributions involved updating the building pipeline, including changes to the export image process and adding features to improve network resilience. The user also addressed specific build problems and corrected file paths to ensure the correct installation of various SDR related software.
limesdrairspyplutosdrgnuradioraspberry-pi
rapidsai/cusignal
Dec 2019 - Jan 2022
cuSignal - RAPIDS Signal Processing Library
Role in this project:Data Scientist
Data ScientistContributions:1 review, 11 commits, 4 PRs in 2 years 1 month
Contributions summary:Luigi primarily contributed to the `cusignal` library, focusing on signal processing functionalities. Their work included adding a WFM demodulation example using SoapySDR and PyAudio. They also implemented and enhanced the `resample` and `lfilter` methods, introducing new features such as domain selection and improved performance. Additionally, the user updated documentation, demonstrating a focus on usability and code clarity.
signaldigital-signal-processingbrain-computer-interfaceconvolutioncusignal
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