About Me
Hi, my name is David Schulte. You can see my CV below.
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David Schulte

PhD Student in Machine Learning

Education

PhD in Machine Learning Humboldt University of Berlin
Berlin, Germany 2026-08 – present
M.Sc. Statistics Humboldt University of Berlin
Berlin, Germany 2020-10 – 2024-04
B.Sc. Mathematics University of Cologne
Cologne, Germany 2014-10 – 2019-09
Semester Abroad in Computer Science Waseda University
Tokyo, Japan 2018-04 – 2018-08

Work Experience

Machine Learning Engineer Meltwater
Berlin, Germany 2025-09 – 2026-07
  • Built machine learning systems for Natural Language Processing
    • Conceptualized efficient solutions for high-volume text classification
    • Curated and augmenting training data
    • Deployed models in production and monitored them
  • Maintained services for generative language models
Data Scientist Vaayu
Berlin, Germany 2022-09 – 2025-08
  • Owned an NLP model that predicts ~1M product taxonomies per day
    • Improved the architecture of the model for efficient hierarchical classification
    • Formulated a loss function to align model behavior and measure performance
    • Devised a routine for data collection to speed up training iterations
    • Maintained the production service to guarantee efficiency and accuracy
  • Conducted large-scale analysis of retail shipping behavior and trends
    • Built data pipelines for data aggregation and analyis
    • Conducted analysis of shipping behavior and communicated it to the CTO and clients
    • Built dashboards for interactive data exploration
    • Simulated the impact of reduction measures on logistics carbon emissions using a self-devised sampling strategy
  • Built a multi-agent system to analyze semi-structured customer data
  • Consulted the CTO, the Head of Data, and clients about statistics-/ML-related topics
Data Scientist (Working Student) Jobufo
Berlin, Germany 2022-03 – 2022-08
  • Developed a sequence labeling model for segmenting job advertisements
  • Used unsupervised clustering of webpages to facilitate market research

Skills

Concepts: Python, SQL, Machine Learning, NLP, Statistics, Model Deployment, Data Analysis
Technologies: Python, PyTorch, SQL, Docker, Kubernetes, Terraform, Google Cloud Platform, AWS
Languages: English (Fluent), German (Native), Japanese (Intermediate / JLPT N2)

Publications

Projects

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