Kamal Raj — AI Researcher

I focus on how digital experiences can stay discoverable and relevant in the age of generative AI. My work spans Generative Engine Optimization (GEO), SEO, analytics, and experimentation areas where the future of search, data, and user experience come together. At Adobe, I contribute to making Adobe.com and Adobe Firefly more visible in emerging search environments, including LLMs like ChatGPT, Gemini, Perplexity, and Claude. This involves bridging traditional SEO practices with GEO strategies that prepare for how people increasingly find information through AI-driven platforms. My journey also includes working on web analytics and experimentation for the Japan region at Adobe, where I helped design testing programs, improve conversion funnels, and introduced a Bayesian experimentation framework to strengthen experimentation with a data science approach. Earlier in my career, I was part of Dyson’s early India expansion team, contributing to e-commerce optimization for Dyson.com. Dyson, known for its innovation in premium personal care, floor care, and environmental care, gave me the chance to apply analytics to real-world business challenges and learn how digital performance impacts global growth. I’ve been fortunate to work at the intersection of SEO, GEO, analytics, experimentation, and data science. What motivates me is the chance to keep learning, adapt to new technologies, and contribute to building digital experiences that are not only measurable and impactful, but also prepared for the future.

Stackforce AI infers this person is a data-driven digital optimization expert in the SaaS and E-commerce sectors.

Location: Bengaluru, Karnataka, India

Experience: 6 yrs 8 mos