Amit Rand

Working on physics-based data retrieval for imitation learning and synthetic data generation using VLMs and diffusion models, advised by Professor Yuchen Cui.

Researching diffusion models for 2D, 3D, and 4D MRI reconstruction, advised by Professor Kim-Lien Nguyen and Professor Dan Ruan.

Developed machine learning models to calibrate satellite phased antenna arrays for Project Kuiper, Amazon's satellite internet constellation.

Developed LLM and generative model based internal-facing solutions at the AI Research Accelerator Lab. Also worked with the Graph AI research group on proprietary projects.

Collaborated with AI researchers to optimize generative model performance through architectural tuning, fine-tuning strategies, and data preprocessing for complex reasoning tasks.

Built full-stack tools and dashboards to support unbiased data generation, deployed deep learning models, and enhanced internal data pipelines under NDA.

Worked on computer vision machine learning models to classify strains of infectious keratits advised by Post Doctoral Scholar Tushar Mungle.

Built full-stack features and deployed intelligent bots for marketing automation and data-driven engagement using React, Node.js, PostgreSQL, and LLMs.