Machine Learning & Computer Vision Engineer: building models that hold up outside protected development environments.
I'm interested in how we turn AI into applications that create value in the real world. I build machine learning and computer vision models designed to work beyond the lab, on messy, real-world data.
My work spans self-supervised learning, generative modeling, anomaly detection, and domain / test-time adaptation, with a focus on making models robust enough for real deployment.
🔭 Currently working on point tracking on video data.
🌱 Exploring the Astro JS framework and World Models (mainly Video JEPA).
💬 Open to talk about computer vision, machine learning, and robust AI, or about the move from academia to industry.
Languages
Machine Learning & Computer Vision
MLOps & Experiment Tracking
Tools
