Semaj
Researching digital identity through large-scale language model training.
Researching digital identity through large-scale language model training.
Built a WebXR social VR system combining Meta Quest 3 tracking with webcam-based neural facial tracking.
Developed a Unity VR experience exploring non-visual navigation through spatial audio, haptic feedback, and embodied interaction.
Built an AI narrative game to with LLMs, persistent memory, and LoRA to explore collaborative storytelling between people and models.
Developed an interactive VR Story exploring how attention, memory, and neural adaptation shape subjective perception of time.
AR/VR Team Lead: Leading the development of a multi-user VR networking system over NYU’s high-speed research network, with a focus on real-time synchronization and low-latency communication.
Student Researcher: helped develop an LLM-driven HDL generation pipeline using MAGE, SWE-Smith, and Memento.
A systematic review of VR’s strengths, limitations, and future potential across education, healthcare, and the workplace.