About
Clear signal,
from noisy data.
CloudSignal AI exists because most AI projects fail in the gap between a promising demo and a production system. We've spent two decades crossing that gap — and we help our clients cross it faster.
Leadership
Ashwin started in research at USC, studying how machines interpret visual and sensory input. That work became the foundation for two decades of designing end-to-end computer vision architectures that move from lab to production to global scale.
As Chief AI Officer at FaceCake, he leads intelligent visual systems — real-time perception, spatial understanding, AR rendering, and multimodal AI — powering experiences used by 100M+ people. He launched AVA, a visual AI shopping agent built on Vertex AI, at Google Cloud Next '24, and his work has shaped deployments for Disney, CHANEL, Microsoft, Bloomingdale's, Sephora, NARS, and the NFL.
CloudSignal AI is where that experience becomes available to your team — as advisory, architecture, or hands-on engineering.
Systems designed and led by Ashwin Rajendraprasad in prior roles — shown as experience, not client work of CloudSignal AI.
Career
Chief AI Officer
FaceCake Marketing Technologies
Progressed from Senior CV Engineer to VP of Engineering to Chief AI Officer. Designed the computer vision and AR platform from the ground up and scaled it globally with Google, CHANEL, Disney, and Microsoft.
Computer Vision Algorithm Engineer
Vantage Surgical Systems
AR-enhanced surgical guidance for ophthalmic laser procedures. Real-time marker tracking and precision alignment in C++.
Recognition & education
Top 50 Fearless Leader of the Year
International Association of Top Professionals (IAOTP)
Top Innovative Chief AI Officer of the Year
International Association of Top Professionals (IAOTP)
Most Innovative Chief AI Officers Transforming Technology
CIO World Magazine
Outstanding Academic Achievement & Phi Kappa Phi
University of Southern California
M.S. Electrical Engineering
University of Southern California — Specialization: Computer Vision & Machine Learning
Let's build what comes next.
Advisory, architecture, and hands-on builds — from first prototype to global scale.