David Davalos
Research Scientist at RCQI, Slovak Academy of Sciences
Metropolitan Zone of Guadalajara, United States
Summary
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SeniorDavid Davalos is a Machine Learning Lead Developer and research-trained physicist with 12 years of experience bridging quantum information theory and production ML systems. He holds a PhD-level background in mathematical and quantum physics and has published peer-reviewed work, including a novel decomposition of quantum channels that reduces simulation register size. Comfortable across Python, Julia, C++ and Linux, he has delivered ML backends and NLP pipelines in industry while leading academic projects and teaching computational physics and electromagnetism. Currently combining roles in AI engineering and postdoctoral research, he thrives on hard, tool-agnostic problems and is equally at home optimizing quantum simulations or deploying scalable ML workflows.
13 years of coding experience
Github Skills (19)
traits10
inheritance9
incremental-game9
del9
energy8
particle8
physics6
particle-physics6
julia5
simulation4
quantum-mechanics4
drive4
python4
google3
linux2
Programming languages (6)
Github contributions (5)
davidphysdavalos/Fisica_computacional_2018-1
Jul 2017 - Dec 2017
Contributions:99 commits, 97 pushes, 1 branch in 5 months
carlospgmat03/libs
Aug 2013 - Jun 2022
Libraries for common use
Contributions:237 commits, 1 PR, 207 pushes in 8 years 11 months
inheritancetraits
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