Elliot Ford is an applied scientist with nine years of experience specializing in the intersection of Natural Language Processing and Knowledge Graphs, with a strong track record in semantic parsing and building Knowledge Graph-backed Q&A systems. He has delivered production-grade solutions at AstraZeneca—open-sourcing the KAZU NER/EL framework—and applied LLMs with graph databases to create transparent, trustworthy QA for scientific users. His background spans research and engineering roles at Evi/Amazon Alexa, where he moved from knowledge engineering into training deep learning models and large-scale data work with Spark. Now based in the Greater Cambridge area, Elliot blends rigorous linguistics training from Cambridge with hands-on ML engineering, and even contributes to widely used open-source projects like psf/requests by improving documentation and project maintainability.
9 years of coding experience
8 years of employment as a software developer
Linguistics, Linguistics at University of Cambridge
Contributions:4 reviews, 2 PRs, 6 comments in 3 months
Contributions summary:Elliot primarily focused on improving and maintaining the documentation of the `psf/requests` repository. Their contributions included updating broken links in documentation, specifically addressing links to GitHub pagination, RFC documentation, and `urllib3` documentation. Additionally, the user fixed docstring typos and updated the author's GitHub link. These changes aimed to enhance the clarity, accuracy, and maintainability of the project's documentation.
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