
Yandex Armenia and Armenian Code Academy are bringing a Data Engineering Meetup to Yandex Hall.
An evening focused on how modern data systems and machine learning solutions are actually built, scaled, and brought into production — with real cases from teams working in the field.
From IoT Streams to Production Models: Building a Scalable MLOps Platform with Metaflow.
Greg leads teams at the intersection of AI and Data Infrastructure, focusing on the full lifecycle of productionizing models and building robust, scalable data ecosystems.
A deep dive into the architecture and processes behind production-ready ML systems – from handling continuous data streams to building scalable and reliable MLOps platforms.
Using City Data to Build an ML Pipeline for Road Accident Prediction.
A practical case study on how large-scale urban data is transformed into machine learning pipelines for predictive analytics in transportation systems.
This meetup is designed for data engineers, ML specialists, and anyone interested in how real-world data systems are developed and deployed at scale.
May 7
Yandex Hall (Moskovyan 35)
Register here https://luma.com/6vuwqqcb
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