Lorenz Schmidt

Development Engineer at Universität Hamburg

Erlangen, Bavaria, Germany
email-iconphone-icongithub-logolinkedin-logotwitter-logostackoverflow-logofacebook-logo
Join Prog.AI to see contacts
email-iconphone-icongithub-logolinkedin-logotwitter-logostackoverflow-logofacebook-logo
Join Prog.AI to see contacts

Summary

🤩
Rockstar
🎓
Top School
Lorenz Schmidt is a Development Engineer with 11 years of experience specializing in HIL systems, ADAS validation, and ASAM OpenX toolchains, currently leading innovation projects at IAV GmbH. He combines hands-on HIL test design and simulated sensor integration with leadership of interdisciplinary teams and offshore contractors, and has budget responsibility and client-facing roles. He initiated and led a 2025 pilot for LLM-based automated HIL scenario generation and has driven migrations to OpenX-compatible toolchains. With an academic background running an STM lab during PhD work, he brings rigorous experimental discipline to automotive systems engineering. An active open-source contributor in Rust machine learning (linfa), he blends practical systems validation with data-science tooling and a penchant for consistency in engineering.
code11 years of coding experience
bookISTQB Certified Tester – Foundation Level
bookISTQB Certified Tester – Advanced Level: Test Analyst
github-logo-circle

Github Skills (7)

algorithms10
machine-learning10
pca10
rust10
dimensionality-reduction10
scientific-computing10
data-analysis9

Programming languages (8)

JavaRustCLLVMTeXElmHTMLPython

Github contributions (5)

github-logo-circle
rust-ml/linfa

Jul 2020 - Nov 2022

A Rust machine learning framework.
Role in this project:
userData Scientist
Contributions:5 releases, 304 reviews, 67 commits in 2 years 4 months
Contributions summary:Lorenz contributed significantly to the `linfa` project, focusing on machine learning algorithms in Rust. Their work involved implementing dimensionality reduction techniques, specifically Principal Component Analysis (PCA) and Diffusion Maps. The user's contributions included code for the spectral embedding with diffusion map, which projects data into a higher-dimensional space. Additionally, the user added common metrics and examples for evaluating classification and regression models.
rustscientific-computingmachine-learningframework-learningmachine-learning-framework
bytesnake/telebot

Nov 2017 - Jun 2020

Write Telegram bots in Rust with Tokio and Futures
Contributions:87 commits, 37 PRs, 95 pushes in 2 years 7 months
telegram-bottelegram-botsrustbotchat
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
Lorenz Schmidt - Development Engineer at Universität Hamburg