Sepehr Mahmoudian is a Berlin-based AI software engineer and researcher with a decade of experience spanning academic neuroscience, large-scale neural simulations, and startup-led AI automation. He has hands-on expertise in building and refining core AI tooling, notably contributing to the NEST simulator’s spike and spin detectors and improving precision settings, tests, and documentation. In parallel with research roles, he is a Technical Founder at Torus Automations, developing sovereign, agentic semi-automation and content co-creation platforms, and he is part of Merantix AI Campus as a Hacker Room Cohort 2 participant. His career includes senior AI development and research roles at Vision Labs, Freie Universität Berlin, Göttingen, Goethe University, Max Planck, Jülich, UCL, and other projects, showcasing proficiency in C/C++, Python, HPC/distributed systems, and CI/CD, plus active open-source contributions. He holds a Doctor of Science in Artificial Intelligence from TU Darmstadt and a Masters by Research in computational neuroscience from UCL, with PhD-level neural networks work. Based in Berlin, he bridges academic rigor with production-ready AI tooling and open-source software.
10 years of coding experience
12 years of employment as a software developer
Bachelor of Science (Honours), Computer Science, First Class Honours – CGPA 4.0/4.0, Bachelor of Science (Honours), Computer Science, First Class Honours – CGPA 4.0/4.0 at Anglia Ruskin University
Technischen Universität Darmstadt
Dr. rer. nat. (PhD), Natural Sciences (Neural Networks) - Defense pending, Dr. rer. nat. (PhD), Natural Sciences (Neural Networks) - Defense pending at Goethe University Frankfurt
Masters by Research, Neuroscience (computational), Distinction – CGPA 4.0/4.0, Masters by Research, Neuroscience (computational), Distinction – CGPA 4.0/4.0 at University College London, U. of London
Contributions: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.
Contributions:222 pushes, 1 branch in 1 year 6 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.
Request Free Trial
Sepehr Mahmoudian - Hacker Room Cohort 2 at Merantix AI Campus