Agent Deployment & Observability

About the track

Agents fail in production in ways traditional monitoring can’t see. This session is For platform, SRE, ML, and AI engineers who own LLM-powered features in production

We’ll cover;

  • Output quality as its own signal layer — catching silent drift that your dashboards miss.
  • Controlled, auditable execution: scoped credentials, bound approvals, reconstructable audit trails
  • Serving performance as a product requirement: footprint, tail latency, edge deployment
  • AgentOps at enterprise scale: operating fleets of agents in a regulated org

Attendees will learn about many live systems: the incidents, the bills, and the redesigns. Sessions will help provide an instrumentation and control checklist to run against your own production agents.

Track host

Rajiv Shah

AI Engineer, OpenHands

Rajiv Shah is the Agentic AI Engineer at OpenHands with a passion and expertise in Practical AI. He focuses on enabling enterprise teams to succeed with AI. Rajiv has worked on GTM teams at leading AI companies, including Hugging Face in open-source AI, Contextual AI in context engineering, Snorkel in data-centric AI, Snowflake in cloud computing, and DataRobot in AutoML. He started his career in data science at State Farm and Caterpillar.

Rajiv is a widely recognized speaker on AI, published over 20 research papers, been cited over 1000 times, and received over 20 patents. His recent work in AI covers topics such as sports analytics, deep learning, and interpretability.

Rajiv holds a PhD in Communications and a Juris Doctor from the University of Illinois at Urbana Champaign. While earning his degrees, he received a fellowship in Digital Government from the John F. Kennedy School of Government at Harvard University. He is well known on social media with his short videos, @rajistics, with over 100k followers.

Summit (2 days).

MLOps World | GenAI Summit 2026 is a two days of case studies, workshops, and expo on taking AI/ML and agentic systems into production – at the Etter-Harbin Alumni photo – full-bleed hero or browse files.

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