Lead Engineer · AI for medical imaging

Building intelligent tools for better healthcare.

I design and ship machine learning systems that help people see, understand, and act on complex medical data.

Mustaffa Hussain
Currently at
AiraMatrix
08+years in ML & AI
04published projects
05medical domains
01curious mind, always

Research & publications

Selected work

Research that turns difficult visual problems into practical systems.

Histopathological image segmentation illustration

Bronze medal · Kaggle competition

Switched auxiliary loss for transformer models in histopathology

Mustaffa Hussain, Saharsh Barve & Mohnish Pakanati

A robust training strategy for segmenting functional tissue units across five organs.

Image segmentationTransformers
View paper
Mitosis detection visualization

Domain generalisation

Robust Multi-Domain Mitosis Detection

Mustaffa Hussain, Ritesh Gangnani & Sasidhar Kadiyala

Learning a target-representative feature space for reliable mitotic figure detection across domains.

Object detectionCycleGAN
View paper
Twin support vector machine diagram

Earlier research

Robust Multi-task Least Squares Twin Support Vector Machines

Reshma Rastogi & Mustaffa Hussain

Multi-task learningClassification
View chapter

A little context

From research
to real-world impact.

I’m a Lead Engineer at AiraMatrix, building AI products for pre-clinical medical imaging across anomaly detection, segmentation, classification, and generative models.

Previously, I led a small team at Onward Assist building PathAssist, and worked on knowledge-graph recommendation systems at the company Myways.ai.

MS

Computer Science, AI
South Asian University

BS

Computer Science
Central University of Rajasthan

Ideas in the open

Writing & notes

Visit The CyPhy

I started The CyPhy, a Medium publication for curious minds exploring AI and data. I grew the community and review posts to make complex ideas more practical and accessible. Visit The CyPhy for the full list of articles.

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