Lead design and implementation of Doowiis frontend, backend, and data systems. Define architecture, build scalable ingestion and analytics pipelines, optimize storage and query performance, ship AI-driven features (LLM/text-to-SQL, embeddings), improve observability and deployment, and mentor engineers while partnering with product and ML teams.

Build and maintain Doowii's core product: front-end interfaces and UX for data querying, backend APIs and cloud infrastructure, real-time data interaction and optimized data models, ingestion pipelines (NiFi->Kafka->Iceberg->BigQuery), and model evaluation/LLM-driven features to deliver accurate, performant conversational analytics for education.