Prattyush Mangal
Prattyush is a Research Software Engineer working in the Granite Feedback Team in IBM Research, based in the UK (Winchester) and the US (New York).
IBM Granite is the family of AI models from IBM and Prattyush leads product and client engagements to increase adoption of the models across various use-cases. He is a technical leader for Agentic and GenAI applications, leading efforts for education content and acts as one of the release managers, contributing to testing and release efforts.
Prattyush is part of the wider AI Foundations organisation and as such regularly contributes to the development of the latest IBM Research technologies, both internally and through open source.
Session
Building a demo agent with hundred billion parameters and beyond can be easy. Deploying reliable, cost-effective agents in production is hard. This talk provides a comprehensive roadmap for taking AI agents from prototype to production, with a focus on migrating from expensive frontier LLMs to efficient small language models (SLMs).
We'll explore the entire lifecycle of production agent development: test-driven development practices adapted for non-deterministic AI systems, agent architectures and migration strategies from large to small models, CI/CD considerations for agents, and observability frameworks which capture what matters and assist in remediating failures.
Whether you're running agents at scale or planning your first deployment, you'll leave with actionable strategies and concrete tools to build reliable, maintainable agent systems with small language models.