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Bhavana
Sajja
Senior Machine Learning Engineer
Expedia Group
A Senior Machine Learning Engineer at Expedia Group, they build and deploy production-scale AI/ML systems across fraud detection, supplier screening, and dynamic risk assessment. Her work spans the full ML lifecycle from data pipelines to production monitoring and governance ensuring models deliver measurable business impact while meeting performance and compliance standards. Alongside core engineering, they focus on agentic AI and its application in enterprise environments. Bhavana recently built a RAG-powered autonomous agent capable of diagnosing and resolving application errors without human intervention by analyzing error context, retrieving relevant documentation, and applying fixes automatically. This work includes integrating MCP servers such as AWS EMR for Spark management, Atlassian for ticketing and knowledge access, and Trino for distributed query diagnostics. They actively contribute to MLOps initiatives, mentor engineering teams on scalable AI deployment, and engage with developer communities to bridge advanced AI research and enterprise-grade reliability.
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25 February 2025 12:00 - 12:30
Panel | Hardening genAI systems for production, reliability and scale
Shipping a generative AI feature is only the start. Keeping it reliable under production load is the real challenge. This session brings together ML and platform engineers to discuss how they build and maintain production-ready genAI systems. Topics include managing model drift, optimizing inference performance, strengthening orchestration, and reducing infrastructure costs. Key takeaways: → Engineering methods for stabilizing GenAI pipelines under real-world conditions. → How to monitor, evaluate, and version models to control drift and degradation. → Architecture patterns that improve reliability, scalability, and cost efficiency in production.