Summary
Neha Das is a doctoral student at the Technical University of Munich with nine years of experience at the intersection of machine learning, computer vision, and robotics, focused on data-driven models of human motion for diagnosing and analyzing mobility disorders. She brings practical industry experience from a year as an AI Resident at Meta working on meta-reinforcement learning and learning from demonstrations, and earlier software engineering roles that span full-stack development and testing. Her research blends reinforcement learning from human feedback, generative models (VAEs, GANs, diffusion), and explainable decision models to enable human-robot collaboration and assistive policies for task completion. Notably, her background includes hands-on projects in depth-based human segmentation and latent dynamic systems, reflecting a strong track record of turning academic ideas into reproducible code and tools.
9 years of coding experience
3 years of employment as a software developer
Master's degree, Computer Science, 1,2, Master's degree, Computer Science, 1,2 at Technical University of Munich
Bachelor of Technology (BTech), Computer Science, Bachelor of Technology (BTech), Computer Science at Delhi College of Engineering
Hindi, Bengali, English