I am a data scientist and Machine Learning researcher with a proven track record of applying cutting-edge AI to solve real-world challenges. With dual Master's degrees from UBC in Computer Science and Data Science, I bring both theoretical depth and practical expertise to every project.

As CTO of EclimAi, I lead the development of intelligent clean tech solutions for smart building systems, leveraging computer vision and machine learning. My research in active learning has resulted in published work that accelerates ML model training with minimal data, challenging traditional data-hungry approaches.

From developing Neural Radiance Fields (NeRF) for virtual production to creating fraud detection pipelines for fintech startups, I thrive on pushing the boundaries of what's possible with AI. I also run an AI podcast and am passionate about making complex AI concepts accessible to everyone.