Joel Kaardal
Applied Scientist at Amazon
Irvine, California, United States
Summary
👤
Senior🎓
Top SchoolJoel Kaardal is an applied scientist with 11 years of experience translating machine learning research into production-ready systems, currently focused on applied science at Amazon. His background spans neuroscience-driven computational research (PhD) to hands-on engineering at startups, where he built perception models, recommender systems, and backend software for consumer products. He has designed novel dimensionality-reduction methods published in neuroscience journals and engineered high-precision computer vision and on-device classifiers for the LEVEL smart oven. At Doc.ai he combined ML and software work to ship mental-health and ad-tech solutions, including emotion/sentiment models that outperformed commercial APIs. Based in Irvine, CA, he uniquely blends rigorous academic modeling with practical production engineering to move ideas from prototypes to deployed services.
11 years of coding experience
11 years of employment as a software developer
University of California, San DiegoUniversity of Minnesota Twin Cities
Github Skills (12)
gpy10
nonlinear-optimization10
theano10
nonlinear-programming9
python9
constrained-optimization9
matlab8
gaussian-processes8
autoencoder8
gradient6
deep-learning3
multidimensional2
Programming languages (3)
Github contributions (5)
jkaardal/matlab-convolutional-autoencoder
Nov 2014 - Sep 2018
Contributions:9 commits, 2 PRs, 5 pushes in 3 years 10 months
autoencoderconvolutional-autoencoderdeep-learningconvolutionalgradient
jkaardal/augmented-lagrangian-matlab-octave
Jul 2016 - Aug 2017
Contributions:8 commits, 6 pushes, 1 branch in 1 year
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