Tony Reina
Machine Learning Engineer at Biotech Startup
San Diego, California, United States
Summary
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RockstarTony Reina is a Machine Learning Engineer with eight years of experience, currently leading ML efforts at a biotech startup in San Diego where he focuses on applying ML to biological problems. He brings hands-on expertise in medical imaging and federated learning, having contributed a 3D U-Net implementation for the BraTS 2020 dataset to the well-known Open Federated Learning (OpenFL) framework. Comfortable navigating both research and production code, he has updated dataloaders, model definitions, and configurations to integrate complex models into privacy-preserving workflows. Tony blends practical engineering discipline with domain-specific insight in biotech, making him effective at turning experimental models into collaborative, deployable systems.
8 years of coding experience
Github Skills (14)
computer-vision10
tensorflow10
python10
federated-learning9
machine-learning9
dataprep8
eval8
data-loading8
data-preprocessing8
model-testing8
preprocess8
evaluation8
load-data8
preprocessing8
Programming languages (11)
Github contributions (5)
securefederatedai/openfl
Jan 2021 - Aug 2021
An Open Framework for Federated Learning.
Role in this project:
ML Engineer
ML EngineerContributions:13 reviews, 24 commits, 23 PRs in 6 months
Contributions summary:Tony primarily contributed to the development of a 3D U-Net model within the repository, specifically for the BraTS 2020 dataset. This involved significant code changes to the `dataloader.py`, and model definition files. They also updated configuration files, model definition code and the README, suggesting a focus on integrating and refining the model for the federated learning framework.
federated-analyticspythonsecure-computationfedavgfedopt
intel/unet
Apr 2018 - Apr 2021
U-Net Biomedical Image Segmentation
Contributions:2 releases, 323 commits, 10 PRs in 3 years
deep-learningimage-segmentationcomputer-visionu-netimage-processing
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