Sejal Vaidya is an experienced data engineer with more than ten years of experience in software development. Over that time she has built deep proficiency in data platforms, infrastructure, and cloud architecture, the layers that determine whether analytics and applications are fast, reliable, and scalable.

Her curiosity now extends to machine learning engineering and MLOps, where her data platform background translates naturally into getting models deployed, monitored, and dependable in production.