Lead critical initiatives on the core infrastructure platform, defining technical vision, collaborating with teams on projects like Kubernetes clusters, and ensuring effective operation across the organization.

Develop and maintain systems that power real-time GeniusIQ products: build backend services, orchestration, monitoring, operator UIs, and data pipelines; deploy and run CV/ML models in production; ensure scalability, reliability, testing, and human-in-the-loop workflows across live sporting events.

Design and implement low-latency, reusable data pipelines and real-time systems that produce tracking and pose data for AI-driven sports insights. Integrate computer-vision and event-detection algorithms, build performant cloud and on-premise services, create developer tools and frameworks, mentor teammates, and ensure scalable, autonomous systems with minimal manual intervention.