Mario Mulansky
Member Of Technical Staff at Anthropic
San Jose, California, United States
Summary
👤
Senior🎓
Top SchoolMario Mulansky is a versatile software engineer and technical leader with 16 years of experience spanning autonomous systems, machine learning, computer vision, and high-performance computing. He has progressed from academic research in theoretical physics and exascale computing to engineering and management roles at Apple, OpenAI, and now Anthropic, focusing recently on machine learning systems engineering from data pipelines through efficient training infrastructure to deployment on custom Apple hardware. Known for tackling ambitious, complex problems, he blends deep numerical and physical modeling expertise with pragmatic software design to build efficient, production-grade systems. Based in San Jose, he brings an unusual combination of PhD-level theoretical insight and hands-on experience shipping ML infrastructure at hyperscale.
16 years of coding experience
11 years of employment as a software developer
Pre-Diploma, Physics, Pre-Diploma, Physics at Technical University DresdenDoctor of Philosophy - PhD, Theoretical and Mathematical Physics, Doctor of Philosophy - PhD, Theoretical and Mathematical Physics at University of Potsdam
Github Skills (19)
cpp10
odeint10
python9
concurrency9
boost9
brian8
cross-platform8
spiking-neural-networks6
code-generation6
simulation-framework6
simulator6
computational-neuroscience6
neurons6
nest5
science5
Programming languages (3)
Github contributions (5)
mariomulansky/PySpike
Sep 2014 - Dec 2022
Python implementation of spike distance metrics
Contributions:2 releases, 6 reviews, 305 commits in 8 years 4 months
python
headmyshoulder/odeint-talks
Apr 2012 - Jun 2014
Contributions:16 commits in 2 years 2 months
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