Summary
Sukriti Verma is an Applied Scientist at Amazon with a decade of experience applying ML research to real-world products, particularly in ads, recommendations, and multimodal generative systems. She blends academic rigor—an MS in Machine Learning from CMU and publications at ICLR and ICDM—with product impact, having shipped personalization and creative-generation features at Adobe and filed a patent for a LayoutGPT variant. At Amazon she leverages transformers and multimodal models to generate and localize advertising assets across languages and formats while improving sponsored search relevance globally. Her background spans reinforcement learning, explainable AI, and large-scale A/B-driven personalization pilots across multiple countries, and she has mentored interns and new hires throughout her career. Less obvious: she has bridged deep research and engineering repeatedly, from building multiagent gym environments for DARPA projects to deploying production algorithms that drive marketing insights.
10 years of coding experience
5 years of employment as a software developer
Bachelor of Technology (B.Tech.), Computer Science, 9.38/10.0, Bachelor of Technology (B.Tech.), Computer Science, 9.38/10.0 at Delhi Technological University (Formerly DCE)
Science Stream, 97.4%, Science Stream, 97.4% at Apeejay School, Pitampura, New Delhi
Master's degree, Machine Learning, 4.04/4.00, Master's degree, Machine Learning, 4.04/4.00 at Carnegie Mellon University
English