Khyati Ganatra is a Forward Deployed Engineer with 11 years of experience building production ML systems and driving data-centric AI for enterprise customers. She pairs deep hands-on expertise in MLOps, production orchestration, and multimodal training/evaluation pipelines with a customer-facing mindset that translates business problems into scalable data workflows. At Labelbox she embeds with AI teams to design RL training data, model evals, and annotation pipelines, building on a track record at Cequence Security where she led ML teams that defended against bot and API attacks. Her work reduced time-to-market from months to weeks, processed 50M+ daily transactions, and directly supported multimillion-dollar deals while co-authoring patents in ML and security. Rooted in a security-first perspective, she focuses on robustness and interpretability as core product differentiators. Always learning and pragmatic, she thrives at the intersection of enterprise impact, engineering rigour, and the evolving role of data in shaping model behaviour.
10 years of coding experience
5 years of employment as a software developer
Masterโs Degree, Computer Science, Masterโs Degree, Computer Science at University of Southern California
Bachelor's degree, Computer Engineering, Bachelor's degree, Computer Engineering at CHARUSAT
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Khyati Ganatra - Forward Deployed Engineer at Labelbox