Teams at GRAI

Integrate a partner client application with internal services, migrate users and data to cloud infrastructure, update frontend UI/UX for migration workflows, modify Node.js/TypeScript backend for correct data mapping, and rapidly troubleshoot integration issues during testing and rollout.

Provision cloud environments, build CI/CD pipelines, migrate and configure databases with HA and backups, monitor infrastructure during active data migration, and ensure stable, secure zero-downtime deployments across Dev/Stage/Prod.

Design and implement large-scale retrieval and ranking architectures for personalized recommendations. Build end-to-end ML systems (data processing, feature engineering, training, deployment, monitoring), run A/B tests and offline evaluations, collaborate with product and engineering teams, and continuously monitor and improve model performance.