Alexander Thomas
Principal Data Scientist
Poulsbo, Washington, United States
Summary
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Rockstar🎓
Top SchoolAlexander Thomas is a Principal Data Scientist with nine years of experience building production-ready ML and knowledge graph systems, currently focused on LLM evaluation and compliance at John Snow Labs after leading similar work at Wisecube. He created Pythia, a hallucination-detection framework for auditing LLM applications, and engineered a pipeline that sped knowledge graph subsetting by over tenfold for retail and biomedical domains. His background spans NLP, Deep Graph Learning, Spark-based ETL, and predictive modeling for biomarker and cheminformatics tasks, with a track record of mentoring teams and industrializing research. Based in Poulsbo, WA, he brings a pragmatic blend of research rigor and production engineering, often translating complex language tasks into deployable SPARQL and graph-based solutions. An unusual strength is his ability to bridge clinical and commercial datasets, turning large, messy data into auditable ML systems.
9 years of coding experience
12 years of employment as a software developer
BS/BA Computer Science/Mathematics, BS/BA Computer Science/Mathematics at University of WashingtonEdmonds College
Github Skills (25)
language-detection10
llamacpp10
runnable10
sentiment-analysis10
question-answering10
bert10
part-of-speech-tagger10
named-entity-recognition9
spark9
entity-extraction9
transformers9
machine-translation9
onnx9
text-classification9
pyspark9
Programming languages (5)
Github contributions (5)
alexander-n-thomas/NLU_tutorial
Jun 2018 - Jul 2020
Contributions:2 pushes in 2 years 1 month
alexander-n-thomas/sparknlp
Oct 2016 - Apr 2017
Contributions:3 commits, 2 pushes, 1 branch in 5 months
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