Alejandro聽Luebs
ML Scientist at Sesame
San Francisco, California, United States
Summary
馃懁
Senior馃帗
Top SchoolAlejandro Luebs is an ML Scientist in San Francisco with 13 years of experience translating cutting-edge audio research into production-ready systems. He has driven real-time communication and speech codec innovations at Google (including the first two versions of Lyra) and advanced multilingual TTS, zero-shot voice cloning, and audio codec work at Descript. Currently at Sesame, he focuses on TTS productization, combining deep signal-processing roots from his electronic engineering background with practical engineering at scale. His expertise spans denoising, beamforming, declipping, bandwidth extension and forced alignment, enabling robust audio experiences across low-bitrate and multilingual settings. Colleagues value his ability to bridge research and product constraints鈥攕hipping research ideas into reliable, real-time deployments. An early acoustic consultant and academic project lead, he brings both field-level measurement experience and coordinated research management to complex audio ML challenges.
13 years of coding experience
14 years of employment as a software developer
Electronic Engineering, Signal Processing, Electronic Engineering, Signal Processing at Instituto Tecnol贸gico de Buenos Aires
Spanish, German, English, Swedish
Github Skills (10)
bitrate10
speech9
codec9
perceptual9
compression9
audio7
speech-synthesis6
speech-recognition5
audio-processing1
noise-reduction1
Programming languages (3)
Github contributions (5)
aluebs/waveation
Jun 2012 - Aug 2013
Contributions:7 commits in 1 year 1 month
aluebs/pointum
Jun 2020 - Apr 2021
Contributions:19 pushes, 1 branch in 10 months
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