Vladimir Iglovikov
About Vladimir Iglovikov
Vladimir Iglovikov is the CEO of Albumentations and has authored over 20 publications on Deep Learning applications across various fields. He has a strong background in machine learning, having previously worked at Lyft and contributed to significant advancements in autonomous vehicle technology.
Work at Albumentations
Vladimir Iglovikov serves as the CEO of Albumentations, a position he has held since 2018. Under his leadership, the company co-created Albumentations.AI, an open-source library that has gained significant traction in the computer vision community. The library is widely adopted by top computer vision companies and Kaggle competition winners, achieving 60,000 daily downloads. His role involves overseeing the strategic direction and operational management of the organization, contributing to advancements in deep learning applications.
Education and Expertise
Vladimir Iglovikov earned a Doctor of Philosophy (Ph.D.) in Physics from the University of California, Davis, where he studied from 2010 to 2015. He also holds a Master's degree in Physics from Saint Petersburg State University, which he completed from 2001 to 2010. His academic background provides a strong foundation for his expertise in deep learning and its applications across various domains.
Professional Background
Before his current role, Vladimir Iglovikov worked at Lyft as a Staff ML Engineer from 2017 to 2021, focusing on the development and integration of deep learning models for self-driving and ride-sharing technologies. He has also held positions at TrueAccord as a Senior Data Scientist, Bidgely as a Data Scientist, and served as a Lecturer and Teaching Assistant at UC Davis. His diverse experience spans multiple roles in machine learning and data science.
Research Publications
Vladimir Iglovikov has authored over 20 publications that focus on deep learning applications in various fields, including medical imaging, satellite imagery, street view analysis, and natural images. His research contributions reflect a commitment to advancing the understanding and implementation of deep learning technologies across different domains.
Competitions and Achievements
Vladimir Iglovikov has participated in several notable competitions, achieving significant placements. He secured 1st place in the Robotic Instrument Segmentation competition, the GIANA: Angiodysplasia localization competition, and the Carvana Image Masking Challenge. Additionally, he obtained 2nd place in the DeepGlobe: Road Extraction and Building Detection competitions, as well as 3rd place in the Deepglobe: Land Cover Classification competition. These achievements highlight his skills and expertise in computer vision challenges.