{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/eb2f0a557c9f483ab8297f9b641bea69\" frameborder=\"0\" width=\"1920\" height=\"1440\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1440,"width":1920,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1440,"thumbnail_width":1920,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/eb2f0a557c9f483ab8297f9b641bea69-71c04a13ff5163a4.gif","duration":118.87,"title":"Anurag Mishra | AI Engineer Introduction","description":"This Loom introduces Anurag Mishra’s practical AI projects and what he has built over the past year. He highlights ProteinScope, an agentic neural network that pulls official research paper data and combines it with community reviews from Reddit and medical blog sources to act as a protein-related research assistant. He also describes an English-to-Hindi translation model built from scratch using a transformer architecture without using any APIs or BERT. Finally, he shares a recent generic agent rebuild inspired by a research paper published in April 2026, presented as a mini version of that work."}