PAVAN KUMAR
Product Leader, Entrepreneur, and Technologist specializing in Multimodal AI
Google Labs
New GenAI Product (Coming soon!) 2024-Present
At Google Labs, I am currently leading the development of a new 'Zero to One' product, that leverages the latest in multimodal generative AI to democratize access to knowledge.
Project Starline 2021-2023
Project Starline is a groundbreaking 3D telepresence product that brings the feeling of a person sitting just across from you, even when they're cities (or countries) apart. My focus was on advanced-ML models that enable immserve and realistic meeting experiences and scaling the infrastructure to bring the product from concept to market.
AI for Google Meet 2021-2023
I also led a team that launched several advanced-ML features enhance Google Meet video experience. This included the development of Dynamic Layouts to ensure equitable participation in hybrid meetings, as well as Studio Look and Portrait Restore features for improved video quality - impacting millions of users worldwide.
Google Cloud
Cloud HPC 2020-2022
As the first full-time Product Manager for High-Performance Computing (HPC) on Google Cloud, I spearheaded the launch of several key products, including HPC Custer Toolkit, HPC VM images, and the Intel Select Solution for HPC. These initiatives helped establish Google Cloud as a major player in the HPC market, addressing a multi-billion dollar market and driving significant revenue growth through strategic customer engagement.
Cocoon Cam / Chrysalis Cloud
Cocoon Cam / Chrysalis Cloud 2014-2020
As a Co-founder / CTO of Cocoon Cam, I led the development of an award-winning AI-powered baby monitoring system and the Chrysalis Cloud platform. These products leveraged computer vision and machine learning to provide real-time insights into infant health and wellness, achieving significant market traction and culminating in acquisition by Alarm.com. This work demonstrated the potential of AI to transform consumer healthcare.
Stanford University
Research on Non-Contact Vital Sign Monitoring 2016-2020
During my time at Stanford, I initiated and led a research study in collaboration with Dr. Henry Lee at the Lucile Packard Children's Hospital. This project focused on using computer vision and machine learning for non-contact vital sign monitoring in neonatal intensive care units. The research demonstrated high accuracy in comparison to traditional methods and was published in leading academic forums, highlighting the potential of non-invasive technologies in critical care settings.
Apple
Simulation Engine for Job-Placement Algorithms 2014
At Apple, I developed a simulation engine to provide critical insights into the performance of complex job-placement algorithms used in their hardware emulation infrastructure. This tool significantly accelerated development timelines and improved system efficiency by enabling rapid testing and optimization, ultimately contributing to enhanced productivity across engineering teams.
NetApp
OnCommand Unified Manager Enhancements 2012-2013
During my time at NetApp, I was responsible for OnCommand Unified Manager, focusing on protection and performance management features. My work involved product planning, supporting new releases, and developing tools for seamless user transitions to newer versions.