<?xml version="1.0" encoding="UTF-8"?><oembed><type>video</type><version>1.0</version><html>&lt;iframe src=&quot;https://www.loom.com/embed/ab6a9435c5b2485a8fbf988ee83f2739&quot; frameborder=&quot;0&quot; width=&quot;1280&quot; height=&quot;960&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>960</height><width>1280</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>960</thumbnail_height><thumbnail_width>1280</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/ab6a9435c5b2485a8fbf988ee83f2739-8e82aaee21a9af9b.gif</thumbnail_url><duration>110.592</duration><title>Building AI Systems from Architecture to Deployment</title><description>This Loom describes the speaker’s technical background and how they bring complex AI systems from architecture to live deployment. They have experience integrating multiple AI and NLP tools and models such as GPT-4, Mistral, LLAMA, and Claude into production web platforms with real business impact. They also applied computer vision and deep learning to genetic ancestry research using ECG data, presenting work at the Villa Symposium and collaborating with clinical teams. The foundation includes Python, React, Django, Docker, Kubernetes, AWS, Azure, vector databases, and MLOps, with bilingual communication in English and French.</description></oembed>