Alex Hanna
Director of Engineering at Distributed AI Research Institute
San Francisco, California, United States
Summary
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RockstarAlex Hanna is a Director of Engineering based in San Francisco with 14 years of experience blending sociological insight and applied machine learning to lead research-driven engineering teams. He pairs hands-on ML engineering—contributing to high-profile Google Cloud training labs that improve preprocessing, hyperparameter handling, and model deployment—with strategic leadership at the Distributed AI Research Institute. Comfortable bridging research and production, he focuses on making complex ML workflows usable and reproducible for teams. His background in sociology gives him a distinctive edge in shaping cross-functional collaboration and translating human-centered research needs into robust technical solutions.
14 years of coding experience
Github Skills (7)
data-preprocessing10
machine-learning10
tensorflow10
python10
machine-learning-models10
gcp10
api9
Programming languages (7)
Github contributions (5)
GoogleCloudPlatform/training-data-analyst
Jul 2018 - Aug 2019
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
Role in this project:
ML Engineer
ML EngineerContributions:111 commits, 40 PRs, 69 pushes in 1 year
Contributions summary:Alex focused on modifying and extending existing code related to machine learning training, preprocessing, and model deployment within the context of a GCP training course. They refactored and enhanced a preprocessing notebook (4_preproc.ipynb) to ensure its function, made changes to a training notebook (5_train.ipynb) relating to the specification of hyperparameters, and made changes to the model.py. The contributions are aimed at improving the functionality and usability of the training process.
gcpgoogle-cloud-platformgoogle-cloudtraining
alexhanna/mpeds-coder
Nov 2019 - Feb 2025
MPEDS Annotation Interface
Contributions:6 PRs, 172 pushes, 8 branches in 5 years 4 months
user-guideltiopcodescrowdannotation
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