Daniel Foster

Daniel Foster is a Research Engineer at Textkernel, specializing in natural language processing, information extraction, and automated candidate/job matching systems since April 2018. Responsibilities include implementing quality improvements, software development in Python and Perl, and data science techniques using Jupyter notebooks. Prior experience includes a role as a Search Quality Analyst at Textkernel, conducting analysis of search relevance and assisting in code updates. Daniel’s background also encompasses a Research Assistant Internship at Meertens Instituut, focusing on language studies, and a position as an Analyst/Senior Analyst at Overseas Strategic Consulting, managing communications for USAID projects in Afghanistan. Daniel holds Master's degrees in Language Technology and Linguistics from the University of Gothenburg and the University of Amsterdam, respectively, as well as a Bachelor's degree in Spanish and International Studies from Virginia Tech.