Michael Malahe
Senior Applied Scientist at Amazon Web Services (AWS)
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolMichael Malahe is a Senior Applied Scientist with a decade of experience turning mathematical rigor into production-scale impact across cloud infrastructure and computer vision. He built novel statistical and vision methods at Aerobotics that helped drive 20x company growth and produced a patented technique for estimating tree age from satellite and drone imagery that influenced US federal regulations. At AWS he optimizes EC2 placement algorithms, delivering hundreds of millions in efficiency gains and leading analysis to expand critical scaling limits. Trained as a PhD mathematician and former postdoc in computational mechanics, he blends deep numerical PDE and high-performance computing expertise with product-focused engineering. Colocated in Seattle, he thrives at the intersection of algorithm design, systems engineering, and cross-functional collaboration—equally comfortable sketching organisational strategy or tuning lines of code.
10 years of coding experience
Master of Science - MS, Physics, Master of Science - MS, Physics at University of Cape TownDoctor of Philosophy - PhD, Mathematics, Doctor of Philosophy - PhD, Mathematics at University of North Carolina at Chapel Hill
English, Afrikaans, German
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (63)
python9
machine-learning9
deep-learning9
aws-glue8
keras8
tensorflow8
data-science7
amazon-athena7
voronoi7
emr7
deploying7
neural-network7
aws-lambda7
aws7
unc7
Programming languages (5)
Github contributions (5)
mmalahe/hpp
Sep 2017 - May 2018
Contributions:277 commits, 32 pushes, 1 branch in 8 months
mmalahe/pyvoro
Jul 2018 - Aug 2023
2D and 3D Voronoi tessellations: a python entry point for the voro++ library
Contributions:3 PRs, 2 pushes, 1 branch in 5 years 2 months
pointtessellationsvoronoipython
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