Summary
Karthika Pai is a software engineer with 12 years of experience building AI models, infrastructure, and data systems at scale, currently developing Gemini-in-Chrome features at Google used by hundreds of millions of users. She has a strong track record shipping end-to-end systems—authoring Chrome’s first GenAI model quality monitoring and privacy-preserving training pipelines, plus full-stack metrics and A/B testing improvements that sped experimentation across the org. Her background blends research and product impact, from low-power FPGA implementations for DARPA-class spectral classification to accessibility-focused ML tools that improved UI detection for visually impaired users. Comfortable across Python, C++, and data engineering stacks, she pairs rigorous engineering with privacy-first design and a keen sense for reducing time-to-insight. Pursuing an MBA in product strategy and finance, she brings technical depth together with growing product and business fluency. Unusually, she describes herself wryly on GitHub as “definitely not a Markov chain,” hinting at a thoughtful, curious mindset behind her pragmatic engineering.
12 years of coding experience
Master of Science, Electrical & Computer Engineering, Master of Science, Electrical & Computer Engineering at University of California, Davis
Master of Business Administration - MBA, Product Strategy, Finance & Operations, Master of Business Administration - MBA, Product Strategy, Finance & Operations at University of Michigan - Stephen M. Ross School of Business
High School Diploma, High School Diploma at Lynbrook High School
Greek, Konkani, French, English