Lukas Großberger
Lead Machine Learning Research Engineer at Bosch Center for Artificial Intelligence (BCAI)
Darmstadt, Hesse, Germany
Summary
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Senior🎓
Top SchoolLukas Großberger is a Lead Machine Learning Research Engineer with a decade of experience bridging computational cognitive neuroscience and applied ML across manufacturing, robotics, autonomous systems and IoT. At Bosch Center for Artificial Intelligence he leads research-to-production efforts, building ML algorithms and ML-as-a-service solutions informed by deep domain knowledge in neural coding and brain–computer interfaces. His background includes founding and running software ventures, teaching and hands-on development, which gives him a rare combination of entrepreneurial pragmatism and rigorous research practice. Comfortable in interdisciplinary and international teams, he excels at turning complex, high-dimensional scientific problems into robust engineering solutions. Notably, his work blends unsupervised methods from neuroscience with scalable ML pipelines for industrial settings.
10 years of coding experience
13 years of employment as a software developer
Technischen Universität DarmstadtMaster of Science - MS, Cognitive Neuroscience, Master of Science - MS, Cognitive Neuroscience at Radboud Universiteit Nijmegen
German, English, French, Dutch
Github Skills (182)
clustering-evaluation10
cluster-analysis10
clustering10
clustering-algorithm10
hdbscan10
dimensionality-reduction9
open-access9
projection9
topological-data-analysis9
approximation9
feature-selection9
signal9
kotlin9
meta-learning9
blackbox9
Programming languages (15)
Github contributions (5)
LGro/spot
Jun 2018 - Sep 2021
Contributions:17 commits, 1 push, 2 branches in 3 years 3 months
LGro/PyAPSI
Apr 2022 - Jun 2022
Python wrapper for labeled and unlabeled asymmetric private set intersection (APSI).
Contributions:46 commits, 6 PRs, 85 pushes in 1 month
pythonasynchronousprivate-set-intersectionasynciopsi
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