Ksenia Bataeva is a Lead AI Engineer with a decade of experience building production-grade ML systems, MLOps pipelines, and data platforms across consumer and mission-critical domains. She has driven measurable impact—from integrating a reinforcement-learning recommender into Booking.com's email campaigns to migrating hundreds of pipelines to Vertex AI and improving CLV prediction accuracy at MY.GAMES. Her strengths span Python, Spark, Kafka, Airflow and cloud-native deployment, paired with a pragmatic focus on observability, latency reduction and reproducible benchmarking. She’s comfortable both architecting cross-team ML infrastructure and mentoring engineers, having led GCP incubator training and standardized benchmarking practices. Earlier work on weather-data microservices and predictive river-level models highlights an uncommon mix of disaster-management applied research and product-focused ML engineering. Based in Amsterdam, she combines relentless curiosity about emerging AI tools with a track record of moving models from prototype to resilient production.
10 years of coding experience
16 years of employment as a software developer
Master's degree Applied mathematics and information technologies, Master's degree Applied mathematics and information technologies at Russian State Technological University named after K.E. Tsiolkovsky (MATI)
Contributions:34 pushes, 1 branch in 3 years 7 months
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Ksenia Bataeva - Lead AI Engineer at Hunter Douglas, Inc.