Ugenteraan Manogaran

I'm building AI solutions as a Lead Computer Vision Engineer for a U.S. medical technology company, while delivering fighter detection and 3D pose estimation for combat sports analytics. I design end-to-end MLOps and microservices for offline and live analysis.

Previously, at Evlos, I built explainable vision models, implemented team-wide MLOps, and developed a purpose-built Vision Foundation Model. At CelcomDigi, I automated repetitive workflows with deep learning and machine learning while mentoring junior data scientists and ML engineers.

At Ombre, I led technical teams building revenue-generating applications and owned system architecture, DevOps, and machine learning deployment. I also developed virtual fashion capabilities including skin-tone detection, clothing classification, automatic garment cropping, and matching algorithms using AWS.

I enjoy implementing machine learning systems from first principles, including MAE, I-JEPA, Vision Transformers, hierarchical classifiers, and core algorithms in NumPy. My work spans medical classification, eKYC face detection, autonomous-vehicle perception, published capsule-network research, and a patent on digital movement biomarkers.