Luis G
Audio DSP - Senior Software Engineer at Microsoft
Bellevue, Washington, United States
Summary
👤
Senior🎓
Top SchoolLuis G is a Senior Audio DSP Software Engineer with eight years of experience designing real-time signal processing and machine learning solutions for large-scale communications platforms. At Microsoft he helps shape the audio stack for Skype, Teams, and Azure Communication Services, focusing on WebRTC and WebAssembly to deliver best-in-class audio across diverse networks and devices. His background includes research and product work on novel ultrasonic codecs and indoor positioning systems, and a prior role optimizing high-performance logistics backends in Python. He holds a Master’s in Digital Signal Processing and a summa cum laude engineering degree, pairing strong academic rigor with practical system delivery. Colleagues know him as a lifelong learner who bridges deep DSP theory with hands-on engineering to improve the audio experience for hundreds of millions of users.
8 years of coding experience
8 years of employment as a software developer
Master of Engineering - MEng, Electrical Engineering: Digital Signal Processing, 9.5/10, Master of Engineering - MEng, Electrical Engineering: Digital Signal Processing, 9.5/10 at Facultad de Ingeniería de la UNAMUniversidad Tecnólogica de La Habana "Jose Antonio Echeverría", CUJAE
Chinese, English, French, Spanish
Stackoverflow
101reputation
0reached
1answer
0questions
Github Skills (25)
sum9
delay9
webassembly8
api7
flask7
emscripten7
react6
wasm-bindgen6
web-audio-api6
audioworklet6
machine-learning5
llvm5
compiler4
python3
pandas2
Programming languages (3)
Github contributions (5)
lmiguelgato/DAP_project
May 2019 - Oct 2020
Multiple DOA estimation & delay-and-sum beamforming
Contributions:1 release, 117 commits, 111 pushes in 1 year 5 months
beamformingsumdoadelayestimation
lmiguelgato/machine-learning-web-app
Apr 2021 - Apr 2021
A cool web app for machine learning, using React.js to build the UI, and using Flask for the API.
Contributions:231 commits, 26 PRs, 160 pushes in 28 days
apireactflaskmachine-learningreact-js
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