Alexander Liu
Member Of Technical Staff at Thinking Machines Lab
United States
Summary
👤
Senior🎓
Top SchoolAlexander Liu is a research-oriented machine learning engineer specializing in speech and generative audio models, with a decade of experience spanning MIT, Meta, NVIDIA, Mistral, and now Thinking Machines Lab. He led core engineering work at Mistral—building a full audio stack, data pipelines, tokenizers, and audio inference—and has multiple ICLR/ICASSP publications from internships that helped productize generative pretraining techniques. His PhD research at MIT focused on speech representation learning and generative models, and he maintains practical, open-source chops (e.g., an end-to-end ASR PyTorch repo with CTC prefix scoring and production-ready data pipelines). Comfortable bridging research and production, he combines deep theoretical grounding with hands-on system design for audio ML. Colleagues describe him as someone who methodically automates tedious workflows—“auto-accept-edit-on” style—so models and pipelines reliably scale from experiments to deployed systems.
10 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science and Artificial Intelligence, Doctor of Philosophy - PhD, Computer Science and Artificial Intelligence at Massachusetts Institute of TechnologyBachelor's & Master's degree, Computer Science and Information Engineering, Bachelor's & Master's degree, Computer Science and Information Engineering at National Taiwan University
Github Skills (15)
pytorch10
machine-learning10
voice-recognition10
speech-recognition10
deep-learning10
automatic-speech-recognition10
python10
asr10
preprocess9
modeling9
preprocessing9
trainings9
dataprep9
data-preprocessing9
data-loading9
Programming languages (2)
Github contributions (5)
Alexander-H-Liu/End-to-end-ASR-Pytorch
Feb 2019 - Sep 2020
This is an open source project (formerly named Listen, Attend and Spell - PyTorch Implementation) for end-to-end ASR implemented with Pytorch, the well known deep learning toolkit.
Role in this project:
Back-end Developer & ML Engineer
Back-end Developer & ML EngineerContributions:52 commits, 17 PRs, 139 pushes in 1 year 6 months
Contributions summary:Alexander made several contributions focused on end-to-end ASR implementation using PyTorch. Their work included adding and modifying code related to data loading, model training, and evaluation, especially adding a validation set, and defining data pipelines. Further contributions involved debugging and optimizing CTC prefix scoring, a critical component in ASR. Additionally, the user worked on training loop implementations, suggesting the user had a hands-on role in both the model and underlying infrastructure.
pytorchend-to-endasrdeep-learningctc
Alexander-H-Liu/alexander-h-liu.github.io
Nov 2019 - Jan 2024
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Contributions:32 pushes, 1 branch in 4 years 3 months
templategithub-pages-templatemmistakesmistakesjekyll
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