Adrian Englhardt
Staff Engineer, Machine Learning at LinkedIn
Dublin, Ireland
Summary
👤
Senior🎓
Top SchoolAdrian Englhardt is a Staff Machine Learning Engineer at LinkedIn with nine years of experience bridging academic research and production ML systems. He holds a PhD from KIT and published a dozen papers on time series, NLP, anomaly detection and data generation, work that feeds directly into practical solutions for sensor, energy, weather, image and text data. At LinkedIn he progressed from software engineer to staff engineer, focusing on deploying novel algorithms to real-world problems at scale. He combines hands-on software engineering with deep research instincts—supervising students and building analysis frameworks—making him equally comfortable prototyping models and operationalizing them. Based in Dublin, he brings a rare mix of interdisciplinary energy-domain expertise and generative/time-series modeling experience to applied ML challenges.
10 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy - PhD / Dr. Ing., Data Science and Machine Learning, Doctor of Philosophy - PhD / Dr. Ing., Data Science and Machine Learning at Karlsruhe Institute of Technology (KIT)Master's degree, Computer Science, Master's degree, Computer Science at Karlsruher Institut für Technologie (KIT)
Github Skills (83)
arabic-nlp10
lda10
fasttext10
one-class-classification10
glove10
word2vec10
corpus10
topic-modeling10
nlp10
julia10
sentence-embeddings10
latent-dirichlet-allocation10
gensim10
classification10
information-retrieval10
Programming languages (9)
Github contributions (5)
englhardt/SVDD.jl
Aug 2018 - Jan 2022
A Julia package for Support Vector Data Description.
Contributions:16 commits, 30 PRs, 96 pushes in 3 years 5 months
juliaanomaly-detectionclassificationone-class-classificationoutlier-detection
englhardt/OneClassActiveLearning.jl
Mar 2019 - Mar 2021
A Julia package for One-Class Active Learning.
Contributions:7 commits, 49 PRs, 119 pushes in 1 year 11 months
julia
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