Evgeny Toropov is a Senior Systems Software Engineer with 13 years of experience specializing in computer vision and autonomous driving, currently at NVIDIA after DeepMap’s acquisition. He combines deep academic training (PhD in ECE from Carnegie Mellon) with hands-on systems work—building dataset tooling, domain-adaptive DNNs, and synthetic-data pipelines to reduce labeling needs. His background spans research and production: from SfM and 3D point indexing to depth estimation and road segmentation models, frequently in C++, Python, TensorFlow and PyTorch. Notably, he created practical open-source tools for dataset merging and annotation manipulation that streamline CV workflows and enable reuse of synthetic and cross-domain data. Based in Pittsburgh, he brings a rare blend of algorithmic rigor and production engineering to scale perception systems for real-world autonomous applications.
13 years of coding experience
4 years of employment as a software developer
Bachelor's degree, Applied Mathematics and Physics, Bachelor's degree, Applied Mathematics and Physics at Moscow Institute of Physics and Technology (State University) (MIPT)
Doctor of Philosophy - PhD, Electrical and Computer Engineering, Doctor of Philosophy - PhD, Electrical and Computer Engineering at Carnegie Mellon University
Contributions:14 commits, 13 pushes, 2 comments in 3 years 7 months
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