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Tatiana
Habruseva
Staff Software Engineer, Machine Learning
LinkedIn
Tatiana Habruseva, Ph.D. is a Staff Software Engineer, Machine Learning at LinkedIn, where she leads applied machine learning projects. Before joining LinkedIn, she developed AI-based decision support systems for labor monitoring at Cork University Maternity Hospital. Her work on Weighted Boxes Fusion, a method for combining predictions from object detection models, has been cited over 700 times and ranks in the top 0.1% cited publications in computer science. Tatiana is a Kaggle Competitions Master, she holds a Ph.D. in Applied Physics from Cork Institute of Technology, is a Senior IEEE Member, and has authored over 27 peer-reviewed publications in computer science and physics.
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26 August 2026 11:00 - 11:30
Is it really the model, or its a systems problem?
A single prompt is manageable. Add tools, memory, and multi-step workflows, and the system starts behaving differently under real conditions. Small inconsistencies compound, dependencies become harder to track, and issues surface in places you weren’t looking. This session focuses on where orchestration starts to break down in practice, how complexity builds across systems, why it’s difficult to debug, and what teams are doing to make these workflows more stable. Key takeaways: → Where orchestration introduces failure points as systems become more interconnected → Why multi-step workflows are harder to reason about than they appear → What teams are doing to reduce fragility across complex systems