Summary
Rahul Garg is a Principal Engineer in San Francisco with 13 years driving computer vision and ML/AI from research prototypes to large-scale product features. He led and shipped high-impact work across Google (Pixel computational photography, Magic Eraser, Portrait modes, Meet enhancements) and now applies generative and vision models to studio and creative production at Netflix. Rahul has a Ph.D. in computer vision and a track record of founding teams and taking multiple 0→1 projects into production, blending deep research with product-focused engineering. Early startup experience at Flutter produced consumer-facing gesture controls and multiple patents, a theme he continued with patent-backed features at Google. Colleagues rely on him for tackling real-time, low-power vision problems as well as scaling novel ML features into widely used consumer products. He combines academic publication pedigree with pragmatic delivery, often shipping work that becomes central to product marketing and user experience.
13 years of coding experience
13 years of employment as a software developer
Ph.D., Computer Vision and Graphics, Ph.D., Computer Vision and Graphics at University of Washington
Indian Institute of Technology Delhi (IIT Delhi)