Teams at EchoStar

Design, build, and deploy enterprise-grade autonomous AI services and multi-agent systems. Implement MCP and A2A integrations, architect hybrid control flows and state machines, integrate sandboxed tool execution with strict egress controls, and apply SRE principles for observability, fallback mechanisms, and reliability to move generative AI from POC to production.

Lead development and architecture of Roku streaming client platform using BrightScript and SceneGraph. Own player state machines, DRM and ad integrations, performance profiling, memory tuning, and automated testing/benchmarking. Establish linting, static analysis, device-farm benchmarks, and AI-assisted workflows while coordinating cross-functional teams to deliver high-performance, certified Roku applications.

Lead and grow a team of Agentic AI engineers to transition multi-agent and generative AI POCs into scalable, secure, production-ready services. Define technical roadmap, guide architecture for scalability and cost, champion agent interoperability standards, and establish CI/CD, observability, and delivery practices for LLM-powered applications that drive business impact.