Summary
Sushobhan Ghosh is a Senior Machine Learning Engineer with a decade of experience building multimodal LLM agents and generative AI for conversational interfaces. He holds a Ph.D. in Computer Science from Northwestern University where he specialized in 3D reconstruction, computer vision, and computational photography—skills he has translated into production features like talking-head avatars and smarter voice assistants. His industry track record spans research and applied roles at Descript, Amazon Alexa, Tavus, and now Apple, blending academic rigor with product-focused engineering. He is particularly adept at bridging vision and language models to enable richer multimodal interactions in consumer AI. Based in Sunnyvale, he pairs deep research instincts with practical deployment experience, often working at the intersection of novel model architectures and real-time systems. An under-the-radar strength is his consistent movement between research internships and production roles, signaling an ability to commercialize cutting-edge ideas quickly.
10 years of coding experience
5 years of employment as a software developer
Indian Institute of Technology Delhi (IIT Delhi)
Doctor of Philosophy (Ph.D.), Computer Science, Doctor of Philosophy (Ph.D.), Computer Science at Northwestern University