Alejandro聽Luebs
ML Scientist at Sesame
San Francisco, California, United States
Summary
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Rockstar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.
14 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)
compression-algorithm10
compression10
audio10
bitrate10
speech10
generative-adversarial-network10
codec10
deep-learning9
pytorch9
gpu7
Programming languages (3)
Github contributions (5)
descriptinc/descript-audio-codec
Jun 2023 - Jan 2026
State-of-the-art audio codec with 90x compression factor. Supports 44.1kHz, 24kHz, and 16kHz mono/stereo audio.
Contributions:6 reviews, 40 pushes, 2 branches in 2 years 7 months
audiocodeccompressionaudio-compressioncompression-algorithm
aluebs/resume
Sep 2021 - Nov 2025
Contributions:4 pushes in 4 years 2 months
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