Neha Das

Doctoral Student at Technical University of Munich

India
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Summary

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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.
code9 years of coding experience
job3 years of employment as a software developer
bookMaster's degree, Computer Science, 1,2, Master's degree, Computer Science, 1,2 at Technical University of Munich
bookBachelor of Technology (BTech), Computer Science, Bachelor of Technology (BTech), Computer Science at Delhi College of Engineering
languagesHindi, Bengali, English
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Stackoverflow

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Github Skills (39)

depth9
computational-biology8
simulation8
simulator8
robotics7
wrapping7
segmentation7
idp7
pybullet7
python-bindings6
sdk6
collision6
virtual-reality6
kinematics6
bullet6

Programming languages (4)

OpenEdge ABLC++Jupyter NotebookPureBasic

Github contributions (5)

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neha191091/IWAE

May 2017 - Dec 2018

Contributions:19 commits, 17 pushes, 1 branch in 1 year 6 months
neha191091/temp

Mar 2017 - Aug 2021

Contributions:18 pushes, 1 branch in 4 years 5 months
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Neha Das - Doctoral Student at Technical University of Munich