Summary
Dmitry Nechaev is a machine learning engineer and founding engineer based in London with eight years of experience building production-grade AI systems across healthcare, gaming, and remote sensing. He led development of Hibou—state-of-the-art foundation models for cancer pathology trained on 1.2B images—and created SPIDER, a large open multi-organ pathology dataset, demonstrating rare end-to-end expertise from research to production on gigapixel imagery. Prior roles include optimizing models for a 50M+ download game (100x model size reduction via distillation and quantization) and developing single-camera 3D motion capture, showing a strong track record of applied model compression and deployment. Trained at MIPT in applied mathematics and physics, he combines rigorous academic foundations with hands-on engineering, and prefers the mountains when not iterating on models.
8 years of coding experience
5 years of employment as a software developer
Master of Science - MS, Applied Mathematics and Physics, 4.8/5, Master of Science - MS, Applied Mathematics and Physics, 4.8/5 at Moscow Institute of Physics and Technology (State University) (MIPT)
Bachelor of Science - BS, Applied mathematics and Computer Science, Bachelor of Science - BS, Applied mathematics and Computer Science at Московский Физико-Технический Институт (Государственный Университет) (МФТИ)
English, Russian