Nima Kondori

I am a Master of Applied Science graduate in Electrical and Computer Engineering at the University of British Columbia, specializing in Artificial Intelligence. My research, supervised by Prof. Renjie Liao and Prof. Purang Abolmaesumi, focuses on developing efficient video diffusion models for echocardiogram generation and data augmentation. I have led a team to build scalable models and large clinical datasets, with our work achieving significant improvements in both speed and accuracy for medical video analysis.

Currently, I am working as a Machine Learning Scientist at Lily AI, where I designed and maintained scalable ML pipelines, deployed deep learning and LLM models, and led MLOps initiatives to optimize model reliability and efficiency. Previously, as a Machine Learning Engineer at Scenebox (now part of Applied Intuition), I built high-performance search engines, improved annotation workflows, and migrated large-scale data systems to enhance performance and scalability.

My research and engineering work have resulted in several publications, including contributions to ICCV, CVPR (workshop), and MICCAI, covering topics such as hierarchical prototypes for image recognition, controlled video diffusion, and interpretable cardiac disease classification.

I am passionate about bridging the gap between cutting-edge AI research and real-world applications, particularly in healthcare. My technical toolkit includes Python, JavaScript, C/C++, SQL/NoSQL, and frameworks such as Hugging Face, Diffusers, and LangChain. I am also skilled in deploying and managing ML systems using AWS, Docker, Kafka, and MLOps tools.

I have been recognized with awards such as the Canada Graduate Scholarship (CGS-M), NSERC USRA, and the Graduate Support Initiative, and have served as a reviewer for leading conferences and journals, including NeurIPS and IEEE Transactions on Medical Imaging.

If you are interested in collaborating, discussing research, or exploring the latest in AI and machine learning, please feel free to connect with me through the links below.