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MS Student in AIML @ TU Darmstadt
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AeroSegment
August 29, 2023 – August 30, 2023
Semantic segmentation for aerial urban understanding using an attention-guided U-Net model.
View ProjectCDAN
June 17, 2023 – March 9, 2025
CDAN: Convolutional Dense Attention-guided Network for Low-light Image Enhancement
View ProjectFaceGAN
February 9, 2023 – February 15, 2023
A Deep Convolutional Generative Adversarial Network that can generate realistic human faces.
View ProjectTweetFeel
January 15, 2023 – February 15, 2023
A project for sentiment and data analysis on tweets related to Covid-19.
View ProjectAugmentool
January 10, 2023 – January 10, 2023
An Image Augmentation Pipeline, Powered by Albumentations
View ProjectImageTiler
January 10, 2023 – February 15, 2023
A useful tool for dividing high-resolution images into m × n tiles while retaining their annotations, including polygons and bounding boxes.
View ProjectComputer-Vision-Basics-Assignments
November 25, 2022 – February 23, 2023
This repository contains the assignments and solutions for the Computer Vision Basics course lectured by Prof. Hassan Khotanlou at Bu-Ali Sina University.
View ProjectEyeSee
November 23, 2022 – March 12, 2023
A high-performing & lightweight CNN model for retinal diseases, which can accurately categorize fundus retinal images into four classes: Normal, Cataract, Diabetic Retinopathy, and Glaucoma.
View ProjectCoronaVirusApi
December 28, 2020 – December 29, 2020
A DRF API for 🦠Covid-19🦠 world-wide statistics.
View ProjectDjango-Personal-Website-Blog
November 14, 2020 – April 10, 2021
A full-featured personal website with a blog, made by django.
View ProjectCultural Fit Analysis
The candidate primarily showcases personal projects, indicating a strong self-starter and passion for the field. However, the lack of team-based or professional experience makes it difficult to assess cultural fit in a collaborative work environment. The projects align well with a Data Scientist role focused on computer vision and deep learning.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are clear but do not provide insights into collaboration, problem-solving approach, or communication style in a team setting.