Summary
Ksenia Riabinova is a Data Scientist with nine years of hands-on experience designing and deploying end-to-end ML systems across NLP and computer vision, currently driving applied research and model delivery at eBay in Berlin. She bridges research and production engineering—migrating PyTorch models to TorchScript/ONNX, optimizing inference with TensorRT/DeepStream and CUDA, and implementing monitoring with Grafana and MLFlow. Her background includes building text analysis and chatbot personalization pipelines, developing data-drift detection and pre-release metric testing, and mentoring interns on topic modeling and deployment practices. Comfortable across Python and C++, she also leverages ClickHouse, Docker, Airflow, DVC and CI/CD to keep models reproducible and reliable in production. An active competitor and project maintainer on Kaggle and GitHub, she pairs strong academic performance (MSc in Computer Science, 4.9/5) with practical speedups—once doubling model throughput by implementing TensorRT plugins in C++.
9 years of coding experience
6 years of employment as a software developer
Master's degree, Computer Science, 4.9 (out of 5), Master's degree, Computer Science, 4.9 (out of 5) at Kuban State University (KubSU)
English, Russian, German