Attila Nagy
Staff Machine Learning Engineer at DoorDash
Munich, Bavaria, Germany
Summary
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Senior🎓
Top SchoolAttila Nagy is a Staff Machine Learning Engineer based in Munich with eight years of experience building and scaling ML and NLP systems across fast-moving consumer tech companies. He has led personalization, search and ads ML efforts as a tech lead at Wolt and DoorDash, and previously designed high-throughput multilingual NLP services at Meltwater handling billions of requests per day. His background spans the full ML lifecycle—from research and prototype work in academic settings and summer schools to productionizing hierarchical classifiers, sentiment models, NER, and abstractive summarization in production. He pairs hands-on engineering (Kubernetes, Elasticsearch, distributed services) with applied research, having also taught courses in Python, NLP and systems topics. Known for moving models into reliable, cost-efficient production (e.g., shard distribution optimizers and productionized classifiers), he blends operational rigor with curiosity-driven exploration of new ML methods. Fluent in both research and delivery contexts, he thrives at the intersection of personalization systems and large-scale NLP.
8 years of coding experience
8 years of employment as a software developer
Master of Science - MS Computer Engineering, Master of Science - MS Computer Engineering at Budapest University of Technology and EconomicsDeep Learning and Reinforcement Learning, Deep Learning and Reinforcement Learning at Eastern European Machine Learning Summer School (EEML)Natural Language Processing, Natural Language Processing at Advanced Language Processing Winter School
Hungarian, English, French
Github Skills (39)
neural-machine-translation9
data-augmentation9
human-language8
translation7
nlp7
onnxruntime6
natural-language-processing6
punctuation6
java6
machine-translation6
crossword6
neural-architecture-search5
reimplementation5
bert5
deep-learning5
Programming languages (5)
Github contributions (5)
attilanagy234/ENAS-pytorch
Jul 2019 - Jul 2022
Reimplementation of "Efficient Neural Architecture Search via Parameter Sharing" (Pham et al., 2018) in Pytorch.
Contributions:2 PRs, 12 pushes, 4 branches in 3 years
pytorchpythondeep-learningneural-architecture-searchsharing
attilanagy234/neural-punctuator
Oct 2020 - Oct 2021
Complimentary code for our paper Automatic punctuation restoration with BERT models
Contributions:40 commits, 2 PRs, 6 pushes in 1 year
nlprestorationbertpunctuation-restorationbert-models
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