Naveed Akram
Functional Safety Research Engineer at Fraunhofer-Institut für Experimentelles Software Engineering IESE
Kaiserslautern, Rhineland-Palatinate, Germany
Summary
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Senior🎓
Top SchoolNaveed Akram is a Functional Safety Research Engineer with eight years’ experience specializing in making machine learning dependable for safety-critical embedded systems, particularly in the automotive domain. Based at Fraunhofer IESE in Kaiserslautern, he applies ISO 26262, IEC 61508, ISO 21448 and related standards to align AI components with rigorous safety engineering practices. His work spans research and hands-on projects—from safety-supervised deep learning for self-driving vehicles using simulation environments to cooperative collision avoidance demonstrators implemented in web technologies. Combining a Mechanical Engineering background and a Master’s in Commercial Vehicle Technology, he bridges vehicle systems knowledge with ML safety research, often leveraging unconventional simulation platforms (e.g., game engines) to validate safety concepts.
8 years of coding experience
2 years of employment as a software developer
Master’s Degree, Commercial Vehicle Technology, Master’s Degree, Commercial Vehicle Technology at Technische Universität KaiserslauternBachelor’s Degree, Mechanical Engineering, 9.0, Bachelor’s Degree, Mechanical Engineering, 9.0 at RV College Of EngineeringShaheen High school
english - c2, urdu - c2, hindi - c2, kannada - b1, german - b2 (c1)
Github Skills (28)
simulation10
imitation-learning10
artificial-intelligence10
unreal-engine-410
simulator10
self-driving-car10
computer-vision10
deep-reinforcement-learning10
ros10
autonomous-driving10
airsim10
carla10
svm-classifier9
cross-platform9
ai9
Programming languages (4)
Github contributions (5)
n-akram/GradCamDDD
Jul 2019 - Jul 2020
Contributions:8 commits, 7 pushes, 1 branch in 11 months
n-akram/Tic-tac-toe
Aug 2019 - Jul 2020
Tic-Tac-Toe for windows using python
Contributions:3 releases, 2 PRs, 5 pushes in 10 months
pythonwindowstoetacpython3
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