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Achievements

Achievement: Pull SharkAchievement: Arctic Code Vault Contributor

Achievements

Achievement: Pull SharkAchievement: Arctic Code Vault Contributor

Highlights

  • Pro

Organizations

@DALME @Harvard-DSSG @harvard-digital-history

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gpizzorno/README.md

Gabe Pizzorno

I build systems that turn messy, unstructured source material into machine-actionable data—entity resolution, knowledge graphs, ontologies, information extraction, and retrieval architectures—and the production platforms that put that data to work.

🌐 Bio • ✉️ Email

Stack

Languages Python | JavaScript/TypeScript | SQL | C | Shell
ML/AI PyTorch | scikit-learn | HuggingFace | spaCy | Stanza | LlamaIndex | sentence-transformers
Data Pandas | NumPy | Elasticsearch/OpenSearch | PostgreSQL | Neo4j | RDF/OWL/SPARQL
Backend Django | DRF | Celery | Docker | Terraform | AWS (EC2, S3, Lambda, RDS, ECS, OpenSearch)
Other OpenCV | Tesseract | OR-Tools | NetworkX | D3 | GeoPandas | QGIS

Pinned Loading

  1. correction-as-annotation correction-as-annotation Public

    Human-in-the-loop bootstrapping of a dependency parser for a low-resource historical corpus: 0.48 → 0.92 LAS in 33 annotation hours, using 97% less training data than the best baseline. Includes th…

    Python 4 2

  2. understanding-ai understanding-ai Public

    Teaching materials that introduce humanities and social science researchers to how AI systems work, what they can and cannot do, and how to use them critically in research. Three self-study units, …

    Python 3

  3. DALME/DALME-Online-Database DALME/DALME-Online-Database Public

    A digital environment designed to facilitate the extraction, analysis, and publication of material culture information from textual primary sources.

    Python 11 3

  4. conllu-tools conllu-tools Public

    A Python toolkit for working with CoNLL-U files, Universal Dependencies treebanks, and annotated corpora.

    Python 7 4

  5. course-scheduling-optimization course-scheduling-optimization Public

    This repository outlines a programmatic solution to the problem of course scheduling under institutional constraints. By modeling the problem as a MIP and carefully constructing the cost matrix, it…

    Python

  6. research-helpers research-helpers Public

    Python utilities for code-intensive research projects and the papers they produce: generated LaTeX tables and figures with drift detection, shared matplotlib styling, arXiv and Zenodo packaging, st…

    Python 2 1