Sandi Besen
Sandi Besen is an AI Research Engineer and Ecosystem Lead at IBM Research, where she drives initiatives in research-to-product translation and ecosystem development. Her work focuses on turning cutting-edge research into scalable solutions, often in collaboration with the open-source community to accelerate innovation. Previously, as an Applied AI Researcher at Neudesic, she designed multi-agent AI systems and authored widely cited research papers and meta-analyses. She is also an active AI advisor to startups, guiding them from concept to deployment and aligning technical capabilities with strategic goals.
AI Research Engineer and Ecosystem Lead, IBM Research
Company or affiliation –IBM Research
Session
Join this hands-on workshop designed for developers interested in building reliable AI agents. You'll walk away with a tangible example you can adapt for your own production AI Agent use cases.
Learn to implement the components that make BeeAI's agents production-ready: control over agent behavior, built-in caching, memory optimization, resource management, and real-time monitoring with OpenTelemetry.