Sepehr Mahmoudian
Stealth at Torus Automations
Berlin, Germany
Summary
👤
Senior🎓
Top SchoolSepehr Mahmoudian is an applied AI and computational neuroscience engineer with 11 years of experience building large-scale, brain-inspired models and production ML systems across academia and industry. He has a strong track record in C/C++ and Python for high-performance neural simulators and distributed simulations, complemented by practical full-stack delivery of generative multimodal and agent-based systems in TypeScript and cloud pipelines. At institutions like Freie Universität Berlin, Max Planck, and Forschungszentrum Jülich he translated novel information-theoretic ideas into simulator code and peer-reviewed outputs, and contributed improvements to the widely used NEST simulator’s spike detector. Now based in Berlin, he’s leading spatial computing and physical intelligence efforts in stealth ventures while mentoring cohort projects at Merantix AI Campus. His work sits at the intersection of rigorous research and productization—optimizing performance, building CI/CD and evaluation tooling, and turning PoCs into deployable systems. Colleagues value his ability to bridge deep theory with pragmatic engineering to ship complex AI that interacts with physical and spatial environments.
10 years of coding experience
12 years of employment as a software developer
Bachelor of Science (Honours), Computer Science, Bachelor of Science (Honours), Computer Science at Anglia Ruskin UniversityTechnischen Universität DarmstadtUniversity College London
Persian, English, German
Github Skills (12)
simulations10
simulation10
nest-simulator10
c-language10
cprogramming-language10
tool-kit10
simulator10
modeling10
documentation9
unit-testing9
neurons8
python5
Programming languages (4)
Github contributions (5)
nest/nest-simulator
Jun 2016 - Jul 2017
The NEST simulator
Role in this project:
Back-end Developer
Back-end DeveloperContributions:16 commits, 8 PRs, 82 comments in 1 year 1 month
Contributions summary:Sepehr primarily focused on improving and refining the NEST simulator's core functionality, specifically related to the spike detector. They made several changes to the `spike_detector` and `spin_detector` models, improving the precision settings. The user also addressed documentation updates for clarity and accuracy of the simulator's properties, along with some formatting adjustments. These changes involved modifications to core simulator components and were tested with the unit test files.
cppnest-simulatorpythonsimulationneurons
sepehrmn/sepehrmn
Jul 2023 - Jan 2025
Contributions:222 pushes, 1 branch in 1 year 6 months
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