Mallori Harrell
Founder at Neqsus Travel
United States
Summary
🤩
Rockstar🎓
Top SchoolMallori Harrell is a founder and machine learning practitioner with a decade of experience building production data pipelines and applied ML across travel, healthcare, and aerospace. She has driven measurable impact—from cutting model pipeline runtimes by 83% at Rent the Runway to automating document and email parsing in the popular Unstructured open-source library used for ML preprocessing. Her background spans hands-on engineering (Python, Airflow, dbt, Spark) and research-driven analytics in cognitive neuroscience, giving her a strong bridge between signal-rich data and deployable systems. Now leading mission-driven travel ventures, she combines technical rigor with product-minded event design to create intentional offsites and faith-forward retreats that prioritize culture and purposeful experiences. Colleagues describe her as someone who moves fluidly between deep technical refactors and high-touch customer experiences—an unusual mix that fuels both robust systems and memorable human-centered programs.
10 years of coding experience
8 years of employment as a software developer
Bachelor of Science (BS) Engineering Science, Bachelor of Science (BS) Engineering Science at Smith CollegeMaster of Science (M.Sc) Cognitive Neuroscience, Master of Science (M.Sc) Cognitive Neuroscience at Università di TrentoMaster’s Degree Data Science, Master’s Degree Data Science at Galvanize - San Francisco, SoMaCertification Machine Learning Engineering, Certification Machine Learning Engineering at FourthBrain
Github Skills (11)
email-parsing10
nlp10
parsing10
data-pipeline10
data-pipelines10
python10
parse10
natural-language-processing10
document-processing9
machine-learning8
ml8
Programming languages (4)
Github contributions (5)
Unstructured-IO/unstructured
Nov 2022 - Jan 2023
Convert documents to structured data effortlessly. Unstructured is open-source ETL solution for transforming complex documents into clean, structured formats for language models. Visit our website to learn more about our enterprise grade Platform product for production grade workflows, partitioning, enrichments, chunking and embedding.
Role in this project:
Backend Developer
Backend DeveloperContributions:26 reviews, 13 commits, 25 PRs in 1 month
Contributions summary:Mallori primarily contributed to the backend functionality of the `unstructured-io/unstructured` repository. Their work involved refactoring and removing code related to PDF parsing, adding patterns for bulleted lists, and introducing new data structures like `EmailElement` and functions to extract attachment information. Furthermore, they expanded the functionality of the email partitioning, including the ability to parse email headers and embed images within email text.
etllanguage-modelpartitioningdeep-learningdocument-parsing
malloriMarie/malloriMarie.github.io
Mar 2016 - Mar 2016
Contributions:23 pushes, 1 branch in 11 days
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