Gabe Smedresman
Infrastructure Engineering Manager at Benchling
New York City Metropolitan Area United States
Summary
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Rockstar🎓
Top SchoolGabe Smedresman is an infrastructure engineering manager with 16 years of experience building scalable platforms that bridge life sciences, machine learning, and immersive experiences. Based in the New York City area, he currently leads infrastructure for Benchling after architecting ML experiment tracking and on-premises tooling at Weights & Biases, where he made notable CLI and API improvements to improve reliability and QA workflows. His career blends startup founding and product engineering—cofounding Nava and several location-based and experiential ventures—alongside stewarding narrative systems for Disney’s Galactic Starcruiser. Gabe brings a developer-first approach to platform design, favoring pragmatic error handling, versioning, and deployability that reduce friction for large teams and complex domains.
16 years of coding experience
10 years of employment as a software developer
BA, Architecture, BA, Architecture at Yale University
Stackoverflow
46reputation
1kreached
1answer
1question
Github Skills (30)
python10
apidoc10
command-line-interface10
machine-learning10
mlops10
api10
command-line10
cli10
error-handling9
versioning8
repr8
rep8
testing8
data-science7
keras6
Programming languages (10)
Github contributions (5)
wandb/wandb
Sep 2018 - Sep 2019
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:39 commits, 23 PRs, 66 pushes in 1 year
Contributions summary:Gabe primarily focused on enhancing the Weights & Biases CLI and internal API. Their contributions include implementing error handling for invalid credentials, updating messaging, and integrating QA environments. They also addressed versioning, and upload logic. These changes suggest a focus on improving the user experience and ensuring proper functionality of the platform's core features and testing environments.
pythoncollaborationtensorflowhyperparameter-tuningcli
wandb/witness
May 2019 - Oct 2019
Deep learning model for recognizing puzzle patterns in The Witness.
Contributions:11 commits, 2 PRs, 8 pushes in 4 months
autoencoderwitnessdeep-learningmachine-learningpuzzle
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