Gregor Lämmel
ML Engineering Manager at LILT AI
Berlin, Germany
Summary
🤩
Rockstar🎓
Top SchoolGregor Lämmel is an ML engineering leader and former founder with 18 years of experience building production-grade AI and data systems from research prototypes to scalable products. With a PhD in Engineering from TU Berlin and a Diploma in Computer Science, he combines rigorous research skills with hands-on backend engineering—evidenced by contributions to the matsim multi-agent transport simulation where he implemented time-dependent routing and transit features. He has led cross-functional teams as Head of ML, Sr. Staff ML Engineer and currently ML Engineering Manager at LILT AI, consistently translating novel ideas into cloud-native, agile delivery. Gregor brings a practical focus on NLP, graph databases and GIS-aware routing, and a track record of founding and scaling startups where he set technical strategy as CTO. Known for mentoring engineers and bridging research and product, he thrives on solving complex, interdisciplinary problems at the intersection of AI, systems and real-world infrastructure.
18 years of coding experience
20 years of employment as a software developer
PhD Engineering, PhD Engineering at Technische Universität BerlinDiploma Computer Science, Diploma Computer Science at Humboldt-Universität zu Berlin
German, English
Github Skills (7)
javas10
java10
network-analysis9
algorithms8
data-structures8
algorithm8
data-structure8
Programming languages (4)
Github contributions (5)
matsim-org/matsim-libs
Nov 2007 - Nov 2017
Multi-Agent Transport Simulation
Role in this project:
Backend Developer
Backend DeveloperContributions:1149 commits, 2 PRs, 92 pushes in 10 years 1 month
Contributions summary:Gregor implemented an editor for time-dependent road closures and transit system, including PT lines and other related features. The user's contributions involved the addition of a new module to implement, the creation of specific features, and modifications to several class related to GIS/routing, indicating a focus on building core functionalities related to a multi-agent transport simulation. Furthermore, the commit messages suggest the user interacted with source code, including class imports, making the user a backend software engineer.
agent-basedtransportation-planningagentagent-based-modelmatsim
matsim-org/evacuation-web-app
Nov 2016 - Aug 2019
Evacuation application that is based on the JavaScript and the Spring Framework
Contributions:87 commits, 2 PRs, 67 pushes in 2 years 9 months
spring-bootspring-frameworkjavascriptspringevacuation
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