Ahmed Imam Shah

Ahmed Imam Shah

Machine Learning Engineer | Deep Learning | Computational Pathology

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About

I'm a Machine Learning Engineer specializing in deep learning and computer vision for healthcare and scientific research. I design and deploy AI-driven solutions for digital pathology, physics simulations, and unsupervised visual understanding. Passionate about building scalable, data-driven systems that bridge AI theory and real-world applications.

Experience

Machine Learning Engineer

Virasoft Corporation | Apr 2022 – Present

Deployed deep learning models for cancer metastasis detection (98% sensitivity, 94% F1-score). Built scalable pipelines for WSI analysis.

AI Consultant

Beamide S.r.l. | Dec 2023 – Mar 2025

Integrated VQ-VAE and CNN models into particle simulators, accelerating high-energy physics workflows by 100×.

Graduate Research Fellow

KUIS AI Center | 2020 – 2023

Conducted research in unsupervised object-centric learning for multi-object tracking and segmentation.

Projects

Slot Attention Object Tracking

Unsupervised multi-object discovery achieving 85% ARI on CLEVR video benchmarks.

SAVI & PixelCNN Reproduction

Recreated object-centric learning models in PyTorch and Julia, matching benchmark results.

Visual-Inertial Navigation

Developed GPS-free localization for robotic systems using inertial and visual odometry.