Summary
Olga Malyugina is a Software Engineer and ML practitioner with 8 years’ experience building end-to-end neural network systems and production ML infrastructure across automotive perception, search, and NLP. She has led dataset creation, radar and multimodal sensor pipelines, and deployment work at CARIAD and Argo AI while optimizing GPU usage and observability for detection stacks. Her background includes productionizing deep learning at scale—CI/CD, continuous training and monitoring—for search engines at CHECK24 and on-device language models at Samsung. Trained at MIPT, she blends strong research foundations with pragmatic engineering, often tackling data-association and entity disambiguation problems that lie between models and real-world systems. Notably, she repeatedly bridges C++ and Python implementations to move models from prototype to embedded and cloud production.
8 years of coding experience
8 years of employment as a software developer
Master's degree, Mathematics and Computer Science, Master's degree, Mathematics and Computer Science at Moscow Institute of Physics and Technology (State University) (MIPT)
English, German, Russian