Peter Ingulli

I am a Staff AI Engineer with 14+ years designing and delivering healthcare, enterprise AI, and industrial platforms across startup and enterprise environments. I focus on building cloud-native, auditable, and resilient AI/ML systems that prioritize security, observability, and engineering excellence.

I architect and implement MLOps pipelines, training infrastructure, model serving platforms, and LLM orchestration using Kubernetes, containers, and Google Cloud Platform. At Workday I improved deployment frequency by 42% and increased platform reliability for enterprise AI products.

My work includes building centralized LLM gateways, agent serving platforms, and orchestration layers with policy controls and performance monitoring, reducing inference latency and improving throughput. I also optimized GPU allocation, autoscaling, and vendor strategies to increase training throughput and lower infrastructure costs.

I drive technical strategy with product and engineering leaders, mentor senior engineers, and establish health, quality, and performance monitoring for production systems. I deliver measurable reliability and compliance improvements and guide teams to scale AI capabilities in regulated enterprise settings.