Finetune
Faizan Khan is an experienced AI and Machine Learning Applied Scientist currently working at Finetune since January 2023, where notable achievements include implementing machine-learned models that saved $150,000 annually. Prior to Finetune, Faizan held roles at Carnegie Mellon University as a Research Assistant, Philips as an NLP Research Intern, and Zycus as an Associate Technical Lead in NLP. Faizan has a solid foundation in data science and natural language processing, with earlier positions at Deep Learning Analytics and KPMG India. Academic qualifications include a Master's in Information Systems Management from Carnegie Mellon University and a Bachelor of Technology in Computer Science from Vellore Institute of Technology. Additionally, Faizan co-founded and led a team at Creation Labs focused on autonomous vehicles and has been active in various technical and leadership roles throughout the educational career.
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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.