Point. Ask. Answer. Building Vision into AI Live on Stage. · WeAreDevelopers World Congress North America

About This Session

Your Ring camera sees everything. So does the company behind it. What if you built your own with a Raspberry Pi, a $10 webcam, and an AI that actually understands what it sees? Same smart alerts. Same intelligent answers. Zero cloud. Zero subscription. Zero strangers watching your footage. Your data. Your hardware. Your rules. Today, we build that. Live. In front of you. From scratch. A Raspberry Pi, a webcam, and 45 minutes. That's all it takes to own your own intelligent camera and never hand your privacy to anyone again.

Speaker

Kavya Sri Chennoju

Staff AI Engineer · Arm

Staff AI Engineer at Arm

Read bio

Kavya is a Staff AI Engineer at Arm, where she designs and optimizes machine learning models for AI-enabled compute platforms across edge, embedded, and cloud environments. Before Arm, she served as a Senior Software Engineer at Amazon, where she spent five years building some of Alexa's most ambitious AI features including a real-time vision system that lets users query the world through a camera, a multimodal visual memory system using retrieval-augmented generation, and a contextual screen-awareness pipeline powering voice interactions across 47 customer experiences. She led cross-functional teams of engineers and applied scientists, and her work touched over 22 million weekly Alexa interactions. With a passion for hands-on hardware tinkering and a deep understanding of the full AI hardware-software stack, Kavya bridges the gap between cutting-edge research and real-world engineering. She believes the most exciting AI isn't running in the cloud it's running on the device in your pocket, or the $35 board on your desk. Outside work, she powers through yoga sessions and uses AI to fuel her 4-year-old's endless curiosity about the world.