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Stacey Svetlichnaya

AI engineer building tools for collaboration & climate

Stacey Svetlichnaya is an AI/machine learning generalist with over 12 years of experience specializing in building, tuning, improving, visualizing, debugging, deploying & maintaining AI systems, with a keen interest in applications related to climate, AI alignment/safety, and science.

In the past 5 years, Stacey focused on building flexible developer tools and visualizations to enhance reproducibility, transparency, and collaboration in deep learning at Weights & Biases, showcasing her portfolio at wandb.ai/stacey.

Her expertise lies in building, tuning, and deploying computer vision-driven systems, particularly excelling at the convergence of deep learning research, data pipeline/backend architecture, and product integration to deliver tangible benefits to users.

Stacey's educational background includes a Master's degree in Symbolic Systems and a Bachelor's degree in Symbolic Systems with a Neurosciences Concentration, both from Stanford University.

Throughout her career, Stacey has held significant roles such as Former AI Ecosystem Engineer at AI Objectives Institute, Founding Deep Learning Engineer at Weights & Biases, Senior Research Engineer at Flickr, Software Development Engineer at Flickr, and various other positions showcasing her diverse skill set and experience.

Stacey Svetlichnaya
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Location

San Francisco, California, United States