Summary
Faria Huq is a PhD student and Graduate Research Assistant at CMU SCS with eight years of research experience focused on contextualized and personalized LLM agents, autonomous web agents, and using LLMs to synthesize data for visual semantics and navigation. She has research stints at Google DeepMind and MIT CSAIL, and works with Prof. Hirokazu Shirado, bringing interdisciplinary experience across VR, geometry processing, and embodied cognition. Her projects bridge high-level natural language alignment with practical data-generation solutions, notably applying LLMs to overcome dataset bottlenecks for embodied AI. Having also developed AR and sketch-based interfaces at Tero Labs, she combines strong theoretical grounding with hands-on system building. Based in Pittsburgh, she brings a global research background originating from BUET and an eye for translating abstract commands into robust autonomous behaviors.
8 years of coding experience
1 year of employment as a software developer
Higher School Certificate, Liberal Arts and Sciences/Liberal Studies, A+, Higher School Certificate, Liberal Arts and Sciences/Liberal Studies, A+ at Holy Cross College , Bangladesh
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at Carnegie Mellon University School of Computer Science
Bachelor's Degree, Computer Science and Engineering, Bachelor's Degree, Computer Science and Engineering at Bangladesh University of Engineering and Technology
English, Bengali