Lukas Mericle

Senior Machine Learning Research Engineer at Apple

Oakland, California, United States
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Summary

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Senior
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Top School
Lukas Mericle is a Senior Machine Learning Research Engineer with nine years of experience applying statistical and ML methods to complex, real-world systems across industry and research. Trained in applied physics and complex adaptive systems (UCSC, Chalmers), he specializes in adaptive nonlinear control, robotics, and resource-management problems, and currently applies ML to wireless communications and location tracking at Apple. He has a track record of shipping end-to-end ML solutions—from prototype architectures in PyTorch/JAX to production ETL that accelerated time-series access by 3000x—and has led small technical teams and cross-functional projects. Comfortable working internationally, he blends systems-science thinking and applied physics intuition to tackle interdisciplinary challenges and has contributed linked-data and Industry 4.0 expertise in supply-chain contexts.
code8 years of coding experience
job6 years of employment as a software developer
bookBachelor's of Science, Applied Physics, Bachelor's of Science, Applied Physics at UCSC
bookMaster's of Science, Complex Adaptive Systems, 3.67/4.00, Master's of Science, Complex Adaptive Systems, 3.67/4.00 at Chalmers University of Technology
bookBishop O'Dowd
languagesEnglish, German
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Github Skills (51)

ads8
python8
crowd8
offline-maps8
linear-algebra7
openstreetmap7
java7
interpolation7
android7
openstreetmap-data7
convolution7
numba7
maps6
cpp6
scientific-computing6

Programming languages (5)

JuliaJavaC++Jupyter NotebookPython

Github contributions (5)

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lukasmericle/ffr120group23

Nov 2017 - Jun 2018

Contributions:42 commits, 39 pushes, 3 branches in 7 months
Contributions:30 pushes, 3 branches in 1 year 11 months
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Lukas Mericle - Senior Machine Learning Research Engineer at Apple