It’s been too long since the last recap! I’ve been super busy. I’ll try to compress three weeks into this one post, and apologies if it runs a little long. ...
— posts —
Productionizing machine learning/AI/data science is a challenge. Not only are the outputs of machine-learning algorithms often compiled artifacts that need to be incorporated into existing production services, the languages and techniques used to develop these models are usually very different than those used in building the actual service. In this post, I want to explore how the degrees of freedom in versioning machine learning systems poses a unique challenge. I'll identify four key axes on which machine learning systems have a notion of version, along with some brief recommendations for how to simplify this a bit. ...
— social —
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— works seen in —
I am not employed by these outlets nor does this reflect their endorsement of me or my views.
— currently reading —
Das Kunstwerk im Zeitalter seiner technischen Reproduzierbarkeit
Walter Benjamin
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— projects —
A blog about preparedness from a community-oriented point of view.
A tool for regularly purging your Bluesky social media feeds.
A people’s history of the removal of statues honoring racists, slave owners, and colonizers, largely during the Uprising in the Summer of 2020 following the murder of George Floyd.
A study of the daily lives of violent far-right actors using court records to peer inside their living spaces.
Youth Equity and Sexuality Lab
I advise the Youth Equity and Sexuality Lab at Suffolk University, a research lab focused on promoting positive adolescent and young adult sexuality development; preventing sexual violence; and fighting fascism, cis-hetero-patriarchy, and white supremacy.
I am an advisory board member of The Prosecution Project, a data-driven project studying the patterns of prosecution of extremism, terrorism, and political violence.
I am an advisory board member of the Advancing Data Justice project, a collaboration between the Alan Turing Institute, the Global Partnership on AI (GPAI), and individuals and communities across the globe.
The opinions shared on this page do not necessarily reflect the views of any organization listed above.
— key technologies —
python
Comfortable with many architectures and frameworks.
Azure
I can set up most services with IaC and understand the basic concepts to a practical degree.
AZ-900, DP-900, AI-900, SC-900
Apache Airflow
Can build complex dags and optimize workflows, familiar with metadata model.
F#
denotes recent progress. For a more complete overview, see my CV.
— languages —
English
American, Mother Tongue
Deutsch
Can engage in daily conversation.
B2 Zertifikat 2022 (Goethe Institut)
Español
Lapsed
denotes recent progress. For a more complete overview, see my CV.