Faraz Faruqi is a PhD candidate at MIT CSAIL and a Student Researcher on Google XR Labs who builds human-in-the-loop generative AI systems that bridge visually compelling 3D models with real-world fabrication and functionality. Over nine years of research and industry experience, he integrates geometry, materials, and mechanical constraints into generative pipelines so non-experts can interactively design structurally sound, tactile, and manufacturable objects using natural language and spatial interaction. His work spans HCI, fabrication, and XR, with publications at CHI, UIST, and SCF and collaborations that translate academic prototypes into deployable tools at industry research labs like Autodesk. Faraz’s background in NLP and early research roles across CMU, IIIT Hyderabad, and the University of Sussex informs his multidisciplinary approach to physical generative AI. Outside of research he explores machine intelligence through code and plays piano, reflecting a blend of technical rigor and creative curiosity.
9 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Massachusetts Institute of Technology
Bachelor of Technology (BTech) Computer Science Engineering, Bachelor of Technology (BTech) Computer Science Engineering at Manipal Institute of Technology
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