I am an AI/ML Engineer and Computer Vision Researcher specializing in custom CNN architectures, multi-scale hierarchical feature fusion, and XAI. My work focuses on optimizing deep learning models to achieve exceptional diagnostic and tracking accuracy while maintaining a lightweight computational footprint for edge deployment. Alongside my professional commitments, I maintain an active pipeline of independent research, continuously developing novel architectures and preparing manuscripts for peer-reviewed international publication. Currently, at Neuronix Technologies, I architect high-throughput, microservices-based real-time AI inference pipelines, integrating distributed systems technologies for complex industrial monitoring products across diverse domains, alongside internal RAG workflows for system diagnostics. Previously, as a Research Assistant at the NeuralBioScan Lab, I managed full ML lifecycles and co-authored 8+ peer-reviewed papers in IEEE conferences and journals , establishing a strong footprint in precision agriculture and medical computer vision, highlighted by a multi-class 78K+ image Diabetic Retinopathy screening pipeline. I graduated Top of Class as a University Gold Medalist with a 4.0/4.0 CGPA from Riphah International University, where my capstone project, DermaAI, won 1st Place in the university-wide final year competition, reflecting my dedication to bridging rigorous academic research with production-grade enterprise software engineering.