Guillaume Androz
Senior Data Scientist
Quebec, Quebec, Canada
Summary
👤
Senior🎓
Top SchoolGuillaume Androz is a Senior Data Scientist based in Quebec with eight years of industry experience applying ML and signal processing to insurance, healthcare, and embedded systems. With a PhD in physics and a background in optics and fiber lasers, he blends rigorous research skills with practical software engineering in Python, C/C++, and cloud DevOps. He has built ECG analysis pipelines and production-ready deep learning models (PyTorch, TensorFlow/Keras) and contributed to open-source projects for time-series clustering and TensorFlow ASR, notably integrating a SentencePiece featurizer for speech recognition. Comfortable moving models from R&D into robust production, he also brings domain knowledge in measurement algorithms and qualification software from telecom test systems. Colleagues rely on him for bridging complex signal-processing theory and scalable ML solutions in regulated industries.
8 years of coding experience
6 years of employment as a software developer
Ph.D., Physics, Optics, Fiber Laser science, Ph.D., Physics, Optics, Fiber Laser science at Université LavalBS, Optique Opto-Electronique et microondex, BS, Optique Opto-Electronique et microondex at Grenoble INP - PhelmaMsc, Physique des composants, micro- opto- electroniques, Msc, Physique des composants, micro- opto- electroniques at Institut national polytechnique de Grenoble
French, English
Stackoverflow
3,535reputation
617kreached
30answers
111questions
angularjs
top-5%
twitter-bootstrap
top-5%
Github Skills (19)
sentencepiece10
python10
clustering-algorithm10
machine-learning10
time-series10
automatic-speech-recognition10
tensorflow10
data-analysis10
twitter-bootstrap9
numpy9
scikit9
angularjs9
scikit-learn9
systemd6
mongodb6
Programming languages (8)
Github contributions (5)
TensorSpeech/TensorFlowASR
Dec 2020 - Feb 2021
:zap: TensorFlowASR: Almost State-of-the-art Automatic Speech Recognition in Tensorflow 2. Supported languages that can use characters or subwords
Role in this project:
ML Engineer
ML EngineerContributions:2 reviews, 26 commits, 4 PRs in 1 month
Contributions summary:Guillaume primarily contributed to the project by integrating and implementing the SentencePiece featurizer. This involved adding the SentencePiece library as a requirement, creating a `SentencePieceFeaturizer` class, and integrating it into training and testing scripts. The changes demonstrate a focus on text processing and vocabulary management for automatic speech recognition models.
ctcspeech-recognitionstate-of-the-artstreaming-transducertensorflow
tslearn-team/tslearn
Aug 2018 - Nov 2018
The machine learning toolkit for time series analysis in Python
Role in this project:ML Engineer
ML EngineerContributions:6 commits, 1 PR, 9 comments in 3 months
Contributions summary:Guillaume primarily contributed to the implementation and improvement of machine-learning algorithms within the tslearn library, specifically focusing on clustering techniques like k-Shape and k-Means. Their work involved adding features for initial centroid/guess specification, refining preprocessing efficiency, and modifying existing functions. The commits demonstrate a clear understanding of time series analysis and clustering concepts, with the goal of enhancing the flexibility and performance of the library's algorithms.
dtwdynamic-time-warpingforecastingpythontime-series-analysis
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