David Garcia
Machine Learning Engineer at NVidia
Old Toronto, Ontario, Canada
Summary
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RockstarDavid Garcia is a Machine Learning Engineer with nine years of experience, currently contributing as a Senior Deep Learning Engineer at NVIDIA from Old Toronto. He blends applied research and production-focused engineering to deliver performant models and scalable ML systems. Comfortable across the model development lifecycle, he likely navigates large-scale training workloads and deployment challenges common in GPU-accelerated environments. David’s tenure at a leading AI hardware company suggests deep familiarity with optimization for parallel compute and real-world model tuning. Though his public GitHub footprint is minimal in this profile, his role implies regular collaboration with cross-functional teams to translate cutting-edge research into production-ready solutions.
8 years of coding experience
Github Skills (27)
python10
benchmark9
autoencoder9
machine-learning9
benchmarking9
tensorflow9
deep-learning9
recommender8
sequence8
ctc8
deep-neural-networks8
ml8
facebook8
neural-network8
data-science8
Programming languages (3)
Github contributions (5)
dagarcia-nvidia/training
Feb 2019 - Mar 2019
Reference implementations of training benchmarks
Contributions:4 pushes in 8 days
implementationsbenchmarkingdeep-learningmachine-learningtraining
NVIDIA/DeepRecommender
Apr 2018 - Apr 2018
Deep learning for recommender systems
Contributions:5 commits, 1 push in 1 day
autoencoderpythonrecommenderdeep-learningmachine-learning
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