Tavishi Vemuri

Worked full stack on advertising technology products, building React and TypeScript interfaces backed by Python services across DSP, SSP, and ad server components. Built React dashboards for campaign setup and inventory/delivery reporting, including targeting views that let campaign teams apply DMP audience segments from the UI. Developed and maintained Python REST services handling bid requests, targeting rules, and ad delivery logic between demand and supply side systems. Partnered with client teams to scope requirements into technical specifications and supported integrations through launch and post-release debugging.

Developed FastAPI and GraphQL services for AI-driven workflow execution, adding request validation, structured error handling, and logging consumed by internal dashboards. Built CI/CD pipelines for FastAPI microservices with automated test and validation gates before release, reducing failed deployments by catching breaking changes prior to promotion (about 25%). Integrated backend services with monitoring dashboards and testing tools to improve team visibility into workflow runs and make failures easier to trace.

Built a React 18 + TypeScript onboarding platform using Vite, TanStack Router, Tailwind CSS, and Radix UI, improving flow performance and reducing load times by 25%. Integrated Neo4j graph queries into backend services to map agent relationships and improve recommendation accuracy. Improved production reliability using Playwright E2E tests, Biome linting, Sentry, and Datadog, reducing UI issues and debugging time by 35%.