John Brandt
Data Science Lead, Restoration
Washington, District of Columbia, United States
Summary
👤
Senior🎓
Top SchoolJohn Brandt is a data science leader with eight years of experience applying computer vision, NLP, and scalable ML infrastructure to global climate and restoration challenges at the World Resources Institute. He architects end-to-end AI systems—including PyTorch/TensorFlow pipelines, Triton inference, AWS clusters, and CI/CD with Docker and GitHub—to operationalize vision and vision-language models used by over 30 governments and corporations to monitor treaties and verify land restoration. As technical lead for a $300M+ restoration and climate-tech portfolio, he blends hands-on model development with team leadership, data governance, and product-focused deployment. His work has reduced labeling and review effort by ~90% via automated quality-control models, and he brings prior experience building production ML tooling at Google and open data research at Yale. Trained in environmental management (Yale) and biology (Vassar), he uniquely combines ecological domain expertise with production ML at planetary scale.
9 years of coding experience
8 years of employment as a software developer
Bachelor of Arts (BA), Biology, General, Bachelor of Arts (BA), Biology, General at Vassar CollegeMaster of Environmental Management, Master of Environmental Management at Yale School of the Environment
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (68)
image-segmentation10
loss-functions9
object-detection9
segmentation9
computer-vision8
python8
indices8
vision-transformer8
pose-estimation8
pytorch8
semantic-segmentation8
instance-segmentation7
deep-learning7
faster-rcnn7
object-tracking7
Programming languages (6)
Github contributions (5)
JohnMBrandt/JohnMBrandt.github.io
Oct 2017 - May 2019
Contributions:396 pushes, 2 branches in 1 year 6 months
wri/environmental-conflict-tracker
Feb 2019 - Mar 2021
Globally relevant indices of environmental conflict by large scale processing of news media articles
Contributions:4 PRs, 52 pushes, 2 branches in 2 years
pythonindicesenvironmentalscalelarge-scale
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