A comprehensive toolkit for organizing, cleaning, and analysing your image datasets. ImageAtlas helps ML practitioners and data scientists efficiently manage large collections of images with powerful analysis and visualization features.
Hi, I'm Ahmad!
I'm a Master's student in Computer Science at the University of Bonn, Germany, and currently working as a Research Assistant at the Computer Vision Group. My research interests lie at the intersection of Deep Learning, Computer Vision, and Image Processing.
Previously, I worked as a Deep Learning Engineer at Intello Labs for over 3 years, where I developed and deployed models for quality assessment of agricultural produce using deep learning and image processing techniques. I achieved 95%+ accuracy in identification and deployed models processing over 10 tons of fruits daily on sorting machines.
I hold a B.Tech in Mathematics and Computing from Delhi Technological University. My core competencies include Python, Machine Learning, Deep Learning, Image Processing, and Data Science.
Projects
Experience
Computer Vision Group, UniversitΓ€t Bonn. Working on deep learning and computer vision research.
Developed deep learning solutions for agricultural quality assessment. Deployed instance segmentation and object detection models for 20+ commodities achieving 95%+ accuracy. Spearheaded fruit sorting machine development processing 10+ tons daily.
Developed MVP for an Influencer Marketing Platform using Django. Built Python scripts for scraping and analyzing social media influencer data.
Education
Master's degree in Computer Science with focus on Machine Learning and Computer Vision.
Bachelor of Technology in Mathematics and Computing Engineering.
Mathematics, Physics, Chemistry & Computer Science.