Worked at Machine Learning group in RPTU on enhancing the contrastive learning framework to learn multiple levels of semantic features per sample, useful for hierarchical and multi-label classification.
arxiv
Transitioned from the fast-track Ph.D. to a Master's degree at RPTU with the plan of pursuing an industrial career afterwards.
Worked on a novel 3D representation, Adaptive Grids, for preserving intricate details while enabling efficient rendering of 3D scenes.
Started a Fast-track Ph.D. program at Max Planck Institute for Informatics in joint with
RPTU.
Machine Learning Engineer at AI Home Design. Focused on industrial ML challenges by optimizing training datasets, accelerating inference through server load distribution, and deploying Docker-based APIs for trained models.
Conducted an internship on medical data generation at VITA Lab at EPFL, contributing to the NeurIPS 2020 Hide-and-Seek Challenge. The code is available here.
Completed a six-month internship at Myket Appstore, focusing on spam review detection through classical Machine Learning methods.
Started my Bachelor Studies at Sharif University of Technology in Computer Engineering.