Leon Eisemann
AI & Data Acquisition Engineer
Hermosa Beach, California, United States
Summary
🤩
Rockstar🎓
Top SchoolLeon Eisemann is an AI & Data Acquisition Engineer with nine years of hands-on experience building data-driven perception and simulation systems for automotive applications. At Porsche Engineering he completed a PhD-track project creating an AI framework to translate critical real-world driving scenarios into simulation, working across HD-map creation, NeRF-based localization, monocular depth, and LiDAR–camera 3D model generation. His background spans applied ML research (sensor modeling and point-cloud autoencoders for RADAR/LiDAR), cloud and automation engineering, and production pipeline rebuilding—skills that let him bridge research prototypes to scalable engineering solutions. Based in Hermosa Beach, he blends systems-level tooling and security-minded automation with domain expertise in ADAS/ADAS simulation, and has a track record of turning vehicle sensor data into actionable simulation assets. An unusual strength is his end-to-end fluency from low-level sensor modeling to natural-language-driven ADAS scenario generation via LLMs.
9 years of coding experience
1 year of employment as a software developer
Master of Engineering - M.Eng Audiovisuelle Medien, Master of Engineering - M.Eng Audiovisuelle Medien at Stuttgart Media University
Github Skills (52)
vulnerability10
log4shell10
log4j10
logging10
vulnerabilities10
api9
vector9
docker8
database8
react8
chatbot8
security8
smtp8
postgresql7
imap7
Programming languages (5)
Github contributions (5)
roelandjansen/log4shell
Dec 2021 - Dec 2021
Operational information regarding the vulnerability in the Log4j logging library.
Contributions:1 push in 1 day
log4jlogginglogging-libraryoperationalvulnerability
rkettelerij/log4shell
Dec 2021 - Dec 2021
Operational information regarding the vulnerability in the Log4j logging library.
Contributions:1 push in 1 day
log4jlogginglogging-libraryoperationalvulnerability
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