Vedika K

At Google, I own end-to-end development for Dashboard Conversational Analytics in Looker, enabling natural-language BI querying toward a goal of 200K monthly active users. I also designed Developer Mode for AI dashboard agents, supporting safe experimentation without affecting production.

I've delivered scheduling, alerts, observability, and production-readiness work for Looker and AI Services with less than 1% additional platform load. In Google Anti Financial Crime, I built a pipeline processing over 1.5 million compliance records and backend automation estimated to save 61 manual hours each day.

Previously at Apple Search, I built Python ingestion pipelines and migrated production applications to GCP and AWS using Docker and Kubernetes. I redesigned deployment infrastructure with GitOps, reducing deployment time from nearly a day to seconds.

I'm an IIT Guwahati Computer Science graduate with four peer-reviewed publications, and I enjoy building developer platforms, reliable distributed systems, and practical AI products.