Summary
Kadri Mufti is an applied mathematician and data scientist with 11 years of experience blending transportation modeling and machine learning across the UAE and US. She has moved from building regional transport models and microsimulations to deploying production-ready AI solutions—ranging from Arabic-English mT5 models for aspect-based sentiment analysis and RAG QA systems to YOLO-based object tracking and predictive passenger-volume forecasting. Comfortable across Python, R, MATLAB/Octave, C++ and cloud tooling, she pairs hands-on model engineering with interpretable risk models (LIME/SHAP) for government and healthcare clients. A serial generalist who thinks systemically, she also pursues NLP for Arabic, robotics-related interests (prostheses/exoskeletons), and the philosophy of science—bringing both deep quantitative rigor and a curiosity for unexpected cross-disciplinary solutions.
11 years of coding experience
6 years of employment as a software developer
Master of Science - MS, Applied Mathematics, Master of Science - MS, Applied Mathematics at University of Washington
English, Arabic, Spanish