Nicolas Alder
Berlin, Germany
Summary
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SeniorNicolas Alder is a PhD researcher and data engineer with nine years of experience applying machine learning and deep learning to sustainability and production problems, currently affiliated with Hasso Plattner Institute and a visiting researcher at MIT through the MIT-HPI joint sustainability program. He holds an M.Sc. in Data Engineering (with distinction) and a B.Sc. in Computer Science, and has a track record of turning large, messy corpora into usable datasets—e.g., processing 200GB of patent XML and building deep-learning-ready corpora. His background spans academic research, industry R&D at Volkswagen’s Smart Production Lab, and quantitative work in an investment office, giving him a rare mix of domain breadth from manufacturing to finance. Nicolas also has substantial teaching experience for large online courses and hands-on tooling experience with Elasticsearch, Python data stacks, and remote Jupyter workflows. He is driven by practical, reproducible ML for sustainability and production efficiency, combining rigorous evaluation with production-minded engineering. A less obvious strength is his proven ability to scale projects end-to-end: from raw data parsing and infrastructure to course design and stakeholder-facing delivery.
9 years of coding experience
Github Skills (14)
decision-tree7
transfer-learning7
roberta6
apache-kafka6
bert6
natural-language-processing5
question-answering5
nlp5
language-model4
deep-learning4
pytorch4
graph-query4
graph-neural-network3
cancer-detection1
Programming languages (3)
Github contributions (5)
nicolas-alder/KAFKA-EFDT
Aug 2019 - Sep 2019
Implementing the paper "Extremely Fast Decision Tree" on Apache Kafka by Nicolas B. Alder and Henrik Wenck
Contributions:62 commits in 28 days
apache-kafkadecision-tree
julian-risch/PatentMatch
Jun 2019 - Aug 2020
Code for the paper "PatentMatch: A Dataset for Matching Patent Claims & Prior Art"
Contributions:41 commits in 1 year 1 month
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