Kyle Goyette
Engineering Manager at Weights & Biases
Portland, Oregon, United States
Summary
🤩
Rockstar🎓
Top SchoolKyle Goyette is an Engineering Manager at Weights & Biases in Portland, Oregon, bringing a decade of experience building and scaling ML-focused software teams and products. He progressed from deep learning intern to software engineer and now manager at W&B, combining hands-on ML engineering with people leadership in a fast-moving startup. His background includes an MSc in Machine Learning/Deep Learning (top grades) and a BEng in Mechanical Engineering, giving him a rare mix of rigorous academic ML training and practical systems thinking. Earlier roles in R&D and project management sharpened his skills in prototyping, automated testing, and cross-functional delivery across hardware and software domains. Kyle is comfortable bridging research and production—translating models and experiments into reliable, production-ready tooling for ML practitioners. Colleagues rely on him for pragmatic architecture choices and for mentoring engineers moving from research code to scalable systems.
11 years of coding experience
5 years of employment as a software developer
Master's degree, Machine Learning/Deep Learning, 4.25/4.3, Master's degree, Machine Learning/Deep Learning, 4.25/4.3 at Quebec AIBachelor of Engineering (B.Eng.), Mechanical Engineering, Bachelor of Engineering (B.Eng.), Mechanical Engineering at McGill University
Stackoverflow
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Github Skills (32)
pytorch10
data-science10
machine-learning10
reinforcement-learning10
hyperparameter-optimization10
keras10
data-versioning10
mlops10
deep-learning10
tensorflow10
ai10
wandb10
hyperparameter-tuning10
jax10
collaboration10
Programming languages (7)
Github contributions (5)
KyleGoyette/RecAttModels
May 2020 - Oct 2020
Contributions:25 commits, 4 pushes, 1 branch in 5 months
saikrishna-1996/deep_pepper_chess
Mar 2018 - May 2018
different AI algorithms to solve board games
Contributions:110 commits in 2 months
ai
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