Biography
Hi, I am an aspiring researcher, I have been affliated with the applied machine learning domain since 2018, spending over 3 years in industry developing data driven solutions for clients, I have developed keen interest in AI research, specifically, in Computer Vision.
Since winter 2021, I have been a Master’s Student in Germany at FAU Erlangen-Nürnberg. Where I have been learning through projects and courses about cognitive neuroscience inspired robust visual representations, techniques for 3D reconstruction, and Prior-based learning for vision. My current research interests are visual representation learning for 2D and 3D prediction and synthesis with priors learned ideally in a self-supervised manner.
Looking for research based opportunities as Working Student / Thesis in Deep Learning based Inverse Graphics.
- Representation Learning
- Inverse Rendering
- Computer Vision
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M.Sc in Artificial Intelligence, 2024
FAU Erlangen-Nürnberg
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B.Sc in Software Engineering, 2018
Sir Syed University of Engineering & Technology
Experience
Responsibilities included:
- Understanding and analyzing current material acquisition process.
- Capturing physical materials using a cell-phone camera through Adidas-FAU custom capturing device.
- Building material capturing, calibration, and processing pipeline for digital material acquisition.
- Testing state-of-art single / few-shot methods of material acquisition on the captured data.
