Tadas Baltrusaitis is a Machine Learning Engineer based in Cambridge with 12 years of experience specializing in computer vision and affective computing, particularly facial behaviour analysis. He combines research rigor with production-minded engineering, contributing to widely used open-source tooling like OpenFace for facial landmark detection, head pose, action unit recognition, and gaze estimation. His work spans back-end development and code refactoring to improve robustness in feature extraction and sequence handling, reflecting an eye for practical performance and data fidelity. Comfortable moving between research prototypes and deployable systems, he focuses on reliable AU prediction pipelines and visualizer accuracy. Colleagues know him for making subtle but impactful fixes that prevent downstream errors in outputs, a trait that accelerates both experimentation and real-world application.
OpenFace – a state-of-the art tool intended for facial landmark detection, head pose estimation, facial action unit recognition, and eye-gaze estimation.
Role in this project:
Back-end Developer
Contributions:14 releases, 1 review, 1005 commits in 4 years
Contributions summary:Tadas's contributions primarily involved refactoring and streamlining code within the `exe/FeatureExtraction/FeatureExtraction.cpp` file. The changes included reorganizing code blocks, making adjustments to the visualizer, and correcting potential bugs related to the output. In addition, the user made improvements to the handling of image sequences and data output, particularly concerning the processing of AU predictions.
Contributions:165 commits, 7 pushes, 1 branch in 3 months
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Tadas Baltrusaitis - Machine Learning Engineer at Microsoft