I am Sulaiman Vesal, Senior Applied Science Manager at Microsoft Research.
Architecting large-scale AI systems at the intersection of generative models and healthcare. Currently driving innovation in MAIDAP.
Technical arsenal deployed across research and production environments.
PyTorch, TensorFlow, Diffusion Models
Segmentation, Registration, Synthetic Data
LLMs, SLMs, RAG Architectures
Azure AI, Deployment at Scale
Microsoft Research (MAIDAP) | Present
Leading the acceleration of AI development. Managing high-impact projects involving LLMs, SLMs, and enterprise-scale AI integration.
Hanwha Vision America
Developed next-gen computer vision algorithms for security and surveillance, focusing on multi-modal data fusion.
Stanford University School of Medicine
Urologic Cancer Innovation Lab (UCIL). Pioneered Deep Learning methods for prostate cancer detection in ultrasound imaging (ProstDecNet).
Breakthroughs in Medical Imaging & AI
A deep learning framework overcoming the limitations of ultrasound for accurate cancer localization.
Read Paper →Unsupervised adaptation of point-clouds for cardiac image segmentation using entropy minimization.
Read Paper →High-fidelity skin lesion segmentation. One of the most cited papers in the domain.
Read Paper →