I graduated in May 2024 with a M.Sc. degree in data engineering from the Technical University of Munich. While I spent most of my studies in Munich, I worked at the end of 2023 for one year as a deep learning student researcher in medical imaging in Boston. There, I published a paper at MICCAI2024.

Prior to Boston, I worked at Prof. Matthias Niessner's visual computing lab, where I published a paper at BMVC2023.

During my undergraduate studies, I spent most of my time building web scrapers and applications for the web and desktop, where I worked as an intern and co-founder of a small SaaS.

I am currently working as an AI software engineer atept.ai in San Fransisco.

Some of my projects on GitHub...

• 🧠Estimating Neural Orientation Distribution Fields for High Resolution Diffusion MRI Scans
• 🤖Generating Context-Aware Natural Answers for Questions in 3D Scenes

Feel free to reach out...

• 📧munzerdwedari@gmail.com
• Twitter
• LinkedIn

Popular repositoriesLoading

1. DLVC-3DVQADLVC-3DVQAPublic

   This is the official repository of our report 3D Visual Question Answering by Leonard Schenk and Munzer Dwedari for the course Deep Learning in Visual Computing.

   Python 7

2. Gen3DQAGen3DQAPublic

   (BMVC23) Paper on 3D visual question answering at the lab of Prof. Dr. Niessner at Technical University of Munich.

   Python 6

3. NODF-HashEncNODF-HashEncPublic

   Implementation of the paper "Neural Orientation Distribution Fields for Estimation and Uncertainty Quantification in Diffusion MRI" with the additional HashEnc method.

   Python 5 2

4. mobile-cameramobile-cameraPublic

   This is a personal project to learn mobile development with Flutter.

   Dart 1

5. ADL4CV-VADADL4CV-VADPublic

   Generative shape synthesis with variational auto-decoder

   Python

6. wicked-problemswicked-problemsPublic

   My Bachelor's thesis application for visualizing wicked problems with real-time multi-user support.

   CSS