◦ Engineered advanced generative models (Diffusion Models, GANs, VAEs) for 3D volumetric reconstruction from 2D priors, enhancing data visualization and analysis in medical imaging tasks◦ Synthesized high-fidelity 2D medical images from existing 3D datasets to augment model training and evaluation pipelines◦ Leveraged distributed cloud computing infrastructure and implemented multi-GPU training protocols on remote Linux clusters to optimize model development and inference processes◦ Enhanced model efficacy through implementation of state-of-the-art neural architectures, including attention mechanisms and residual networks, while establishing rigorous evaluation frameworks to drive continuous performance improvements

◦ Developed immersive AR interfaces for HoloLens 2 using Unity3D and MRTK, translating complex space operations into interactive 3D experiences◦ Led agile sprints and managed GitHub workflows (enforcing code/commit conventions, overseeing pull requests) for a 9-member team across 3 locations, ensuring efficient development cycles and code quality◦ Optimized UI/UX based on human factors research, enhancing user interaction and safety in high-stakes environments◦ Contributed to academic papers on AR human computer interaction

◦ Designed and illustrated graphics