Design, develop, and deploy enterprise-grade autonomous AI services and multi-agent workflows. Build MCP and A2A integrations, hybrid control flows, secure tool execution environments, and reliable microservices. Apply SRE practices including fallbacks, circuit breakers, audit trails, and observability. Collaborate cross-functionally to translate business requirements into scalable agent specifications and production systems using Python, cloud foundation models, containerization, CI/CD, and distributed technologies.

Lead and grow an Agentic AI engineering team to transition multi-agent and generative AI POCs into scalable, secure, production-grade LLM services. Define technical roadmap, ensure architectures support hybrid control flows and state machines, adopt agent interoperability standards, establish CI/CD and observability, and partner with product and business leaders to deliver measurable business impact.

Lead design and development of Roku BrightScript applications and SceneGraph architecture. Address media playback, DRM, performance tuning, and low-memory optimizations. Establish automated testing, linting, static analysis, device benchmarking, and AI-assisted development workflows. Collaborate with product and engineering leadership to maintain high-performance delivery across hardware tiers.