Scott Condron is a Senior Product Manager at Weights & Biases with 11 years blending hands-on ML engineering and product leadership to ship developer-focused tooling for machine learning teams. He progressed internally from ML engineer to product manager and now senior PM, shaping integrations and example projects (notably contributing Colab notebooks and GIF-generating demos for the popular wandb/examples repo) that help practitioners adopt observability and training workflows. With an MSc in Artificial Intelligence and a background building AR, NFC, and cloud-backed mobile services, he bridges research-quality models and pragmatic productization. Based in Dublin, he pairs technical fluency in PyTorch, spaCy and production AWS stacks with a knack for turning demo code into developer-facing product features.
11 years of coding experience
10 years of employment as a software developer
Heriot-Watt University Edinburgh Campus
Bachelor of Engineering (BEng) Electrical and Electronics Engineering, Bachelor of Engineering (BEng) Electrical and Electronics Engineering at University College Dublin
Example deep learning projects that use wandb's features.
Role in this project:
ML Engineer
Contributions:4 reviews, 17 commits, 26 PRs in 1 year 4 months
Contributions summary:Scott primarily contributes to example projects that utilize Weights & Biases (wandb). They added and modified Colab notebooks demonstrating integrations with machine learning frameworks, specifically spaCy, PyTorch Lightning, and MIN-DALLE. Their contributions involve the generation of GIFs from logged images and enhancing model training and logging processes.
Contributions:93 commits, 1 PR, 89 pushes in 11 months
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