Summary
Nikita Berezhnov is a Data Scientist with 8 years of experience applying machine learning and computer vision to real-world problems, currently based in Yerevan. He has built real-time object detection and segmentation systems using MediaPipe, developed AR prototypes, and created text-processing pipelines with BERT for sentiment and review evaluation. His research background at Voronezh State University includes training CNNs for defect detection, denoising and segmenting SEM images, and designing GAN-based data augmentation and stylization techniques. Earlier roles in backend engineering at Yandex and Netcracker sharpened his systems thinking—optimizing Go clients for distributed databases and building large-scale data pipelines with ClickHouse. He blends academic rigor with production engineering, often converting research prototypes into deployable components. Notably, he moves fluidly between deep learning research and low-level performance work, making him effective at both prototyping and production optimization.
8 years of coding experience
2 years of employment as a software developer
Master of Computer Science, Applied artificial intelligence systems, Master of Computer Science, Applied artificial intelligence systems at Voronezh State University