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# Anaëlle Sikich
ML Engineer at Microsoft Gaming turning experimental models into reliable systems.

## About

Anaëlle Sikich builds large-scale production ML systems at Microsoft Gaming. She focuses on designing reliable AI workflows that actually perform under real-world constraints. Instead of treating machine learning projects as isolated models, she tackles them as distributed systems.

With a background combined in software engineering and platform architecture, Anaëlle helps teams move from experimental setups to robust production. She often explores how classic principles—like graceful degradation and backpressure—can prevent critical failures when deploying AI at scale.



## Past Sessions

### World Congress 2026 Europe · July 8, 2026
Berlin, Germany
- [Production AI Is a Systems Problem: How ML Breaks at Scale and How to Prevent It](https://www.wearedevelopers.com/events/world-congress-2026-europe/sessions/1010-production-ai-is-a) · 30 min




## Links

- [LinkedIn](https://www.linkedin.com/in/anaelle-s/)