Summary
Tahsin Mayeesha is a researcher and PhD student in Information Science with a decade of experience at the intersection of NLP, HCI, and AI policy, currently serving as a Graduate Teaching and Research Assistant at the University of North Texas. She has led government-funded Bangla NLP efforts—building Llama-based RAG systems for public administration—and has a strong track record of designing dataset schemas, annotation protocols, and evaluation frameworks for low-resource languages. Her work blends qualitative methods (co-design, fictional inquiry, expert interviews) with rigorous model development, yielding publications across EMNLP, Ubicomp, ICTD and ACM venues. She has mentored annotators and junior researchers, contributed open research artifacts (models, datasets, code) for Bengali question and visual question generation, and helped translate ethics research into policy-relevant recommendations for South Asia. Outside academia she brings practical ML engineering experience from industry-focused roles and summer projects with TensorFlow Hub and MediaViz, and—less obviously—applies her interest in cultural nuance to model behavior, e.g., analyzing formality bias across languages.
10 years of coding experience
4 years of employment as a software developer
Bachelors in Computer Science and Engineering Computer Science, Bachelors in Computer Science and Engineering Computer Science at North South University
Doctor of Philosophy - PhD Information Science/Studies, Doctor of Philosophy - PhD Information Science/Studies at University of North Texas
Higher Secondary Certificate, Higher Secondary Certificate at Cambrian School & College