Nima Kondori

Exploring Different Aspects of GenAI

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I am a MASc graduate in Electrical and Computer Engineering from the University of British Columbia, where my thesis research focused on video diffusion models for echocardiogram analysis and data augmentation. You can find my thesis here. During my graduate studies, I was co-supervised by by Prof. Renjie Liao and Prof. Purang Abolmaesumi

Currently, I am a Senior Machine Learning Scientist at Lily AI, leading the design of LLM-powered pipelines, optimizing model attribution, and deploying scalable ML systems in production. I specialize in generative AI, diffusion models, and MLOps, with experience spanning both research and industry.

My work has resulted in publications at ICCV, CVPR, and MICCAI, and I have received different awards such as the Canada Graduate Scholarship (CGS-M) and NSERC USRA. I am passionate about advancing real-world AI solutions and closing the gap between the AI research and engineering.

Let’s connect if you’d like to collaborate or discuss AI and ML innovations.

news

Jul 01, 2025 I have been promoted to a Senior Machine Learning Scientist at Lily AI
Apr 21, 2025 I have joined LilyAI as an ML intern working on fine-tuning and deploying LLMs and Agents for e-commerce applications.
Aug 24, 2024 I accepted a reviewer position for a workshop in NeurIPS 2024.
Apr 28, 2024 Our paper titled ControlEchoSynth: Boosting Ejection Fraction Estimation Models via Controlled Video Diffusion Models is accepted by the DCAMI workshop in CVPR 2024

selected publications

  1. controlechosynth.png
    ControlEchoSynth: Boosting Ejection Fraction Estimation Models via Controlled Video Diffusion
    Nima Kondori, Hanwen Liang, Hooman Vaseli, and 5 more authors
    2025