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aahepburn/README.md

About Me

Alexander is a data scientist specialising in natural language processing, causality and business analytics. His work focuses on robust ML systems, addressing challenges like distribution shifts using Python (pandas, NumPy, scikit-learn), modern NLP libraries (spaCy, Hugging Face), and experiment tracking / evaluation workflows.

He works comfortably with relational databases (SQL), data pipelines, and API-driven integrations, including LLM-based tools.

Alexander is passionate about digital privacy and ethical AI development. He loves to contribute to open-source projects, some of which are listed on this page.

Currently based in Amsterdam and open for work.

Python R JavaScript Linux Docker Microsoft Azure Kubernetes

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  1. Zotero-RAG-Assistant Zotero-RAG-Assistant Public

    An open source desktop RAG application that lets you chat with your Zotero library using language models. Ask questions about your research and get answers grounded in your own documents, with cita…

    TypeScript 3

  2. MLOps-Quarto-Project MLOps-Quarto-Project Public

    Python

  3. Multi-Task-Propaganda-Detection Multi-Task-Propaganda-Detection Public

    This is the code repository for my thesis project titled "Towards Robust Propaganda Detection: Addressing Distribution Shifts via Multi-Task Learning".

    Jupyter Notebook

  4. link-prediction link-prediction Public

    A link prediction classifier where we test multiple types of features using synthetic data.

    Jupyter Notebook 2