Finetune
Safat Siddiqui is an Applied Scientist at Finetune since August 2022, focusing on algorithm development. Previously, Safat earned a Ph.D. in Artificial Intelligence from the University of North Carolina at Charlotte, contributing to the creation of recommendation algorithms and conducting analysis on user interactions during this time from August 2017 to August 2022. As a Graduate Research Scientist at Smart Girls HQ from August 2021 to May 2022, Safat developed personalized STEM event recommendation algorithms and collaborated on experimental designs targeting K12 students and their parents. Prior experience includes a role as a Machine Learning Engineer at the Quantum Foundation from 2014 to 2017, where Safat utilized distributed machine learning and built data pipelines for website traffic analysis. Safat holds a Graduate Certificate in Cognitive Science from the University of North Carolina at Charlotte and a Bachelor of Science in Computer Science from Shahjalal University of Science and Technology.
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Finetune
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Finetune is leading the way in AI-Human hybrid solutions for learning and assessment. Their practice-proven tools include an assessment platform that delivers formative assessment to millions of students (built in partnership with The College Board); an AI-assisted system that streamlines scoring assignments, videos, and projects; an innovative solution to the problem of inter-rater reliability in qualitative assessment for teachers across 400 schools (built-in partnership with Gradient Learning); test authoring support that more than doubles authoring speed and efficiency while improving item quality; and, an AI content tagging tool that dramatically improves the speed and quality of content classification, crosswalks, and item bank realignments.