David Davalos
Machine Learning Lead Developer at Austin Artificial Intelligence, Inc.
Guadalajara, Mexico
Summary
👤
Senior🎓
Top SchoolDavid 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.
12 years of coding experience
8 years of employment as a software developer
Doctor en Ciencias (Física), Especialización en física matemática e información cuántica, Doctor en Ciencias (Física), Especialización en física matemática e información cuántica at Instituto de Física UNAMLicenciado en Física, Theoretical and Mathematical Physics, Licenciado en Física, Theoretical and Mathematical Physics at Universidad de Guadalajara
English, Spanish
Github Skills (24)
inheritance10
traits10
incremental-game9
del9
energy8
particle8
particle-physics7
physics6
julia5
closed5
quantum-mechanics5
simulation4
simulations4
python4
petsc3
Programming languages (5)
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, 193 pushes in 8 years 11 months
inheritancetraits
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