Design and develop AI-driven autonomous systems and multi-agent architectures using modern agentic frameworks and cognitive computing technologies.
Build and optimize high-performance backend services using Python-based microservices architecture, including scalable REST and gRPC APIs.
Develop and manage end-to-end MLOps/AIOps pipelines, automating model testing, deployment, monitoring, and lifecycle management.
Architect and maintain scalable data infrastructure and pipelines across modern cloud data platforms including Snowflake, Databricks, and Lakehouse environments.
Collaborate with engineering teams to deliver scalable, reliable, and production-ready AI solutions aligned with enterprise architecture standards