Research
interpretable machine reading, information extraction, knowledge assembly, language variation, and applied NLP for scientific or public-sector workflows.
About
GusHahn-Powell
I’m a computational linguist building applied NLP systems for machine reading, information extraction, scientific knowledge assembly, and community-facing language technology.
Research projects
Software
Python, Scala, JavaScript, FastAPI, Spark, AWS, Terraform, Docker, CI/CD, and the infrastructure around durable language technology systems.
Teaching
graduate NLP, machine learning, programming, professional practice, and course infrastructure for online human language technology programs.
Representative Work
Some public examples across teaching infrastructure, research software, applied NLP, and product tooling.
Class Maestro
Course operations tooling for managing teaching workflows, student-facing materials, protected instructor resources, and authenticated course infrastructure.
Odinson
Research on executable, editable extraction programs that combine linguistic structure, neural assistance, provenance, and human review.
AgScribe
LLM-driven structured information extraction over transcribed interviews, using private model deployment and an explicit target schema.
Colophon
Mobile-friendly book intake, metadata extraction, valuation evidence, and buyer sharing for inherited, rare, signed, and resale-relevant books.
See all projects
Browse the full public portfolio across research, software, teaching infrastructure, and applied NLP work.
All projects