Ammons Data Labs
Personal engineering portfolio focused on pragmatic systems for academic document ingestion, metadata enrichment, and search indexing - built for reliability and scale in research workflows.
Python .NET Ingestion pipelines Search & indexing Evaluation & observability- Pipeline patterns for PDFs and research corpora (extract -> normalise -> enrich -> index).
- Deduplication and candidate matching to improve corpus quality and reduce noise.
- Search-first storage for fast retrieval and downstream evidence/research use.
For collaboration or questions, use LinkedIn or open an issue on a relevant public repository.