AI Product Engineering & Healthcare Automation
15+ years designing, shipping, and scaling enterprise-grade AI platforms and distributed systems. I build the infrastructure that healthcare organizations depend on — reliably, at scale, with zero tolerance for downtime.
Jagadesh Rajendran · Frisco, TX
I am a VP of Engineering and AI product builder with 15+ years of experience translating product vision into resilient distributed systems that operate at enterprise scale across the US healthcare sector.
My work sits at the intersection of agentic AI, healthcare revenue cycle management, and high-availability infrastructure — building platforms that automate complex, fault-intolerant workflows that clinical and financial operations depend on.
I have led engineering from zero to production across 10+ AI and automation platforms, scaling distributed teams of 30+ engineers across geographies, and delivering systems with 99.99% uptime SLAs.
"I build things that hold up under real production load — fault-tolerant by design, observable by default, and engineered for the long term."
A lightweight, privacy-preserving LLM framework for real-time threat detection in digital news streams — achieving 96% classification accuracy with a 70% reduction in training time. The system operates entirely on-premise, integrating GPU-accelerated training, hybrid LLM-assisted labeling, and a continuous feedback loop for adaptation to evolving threat patterns.
18 articles on AI models, GPU infrastructure, open source tools, and lessons learned building production systems at scale.
Open to senior engineering leadership, advisory, and consulting engagements — particularly in AI product engineering and healthcare technology.