Summary
Dmitry Kozlov is a Senior Software Engineer in the San Francisco Bay Area with 10 years of experience building production ML and infrastructure systems, currently contributing to NVIDIA's Deep Learning Frameworks Infrastructure team. He pairs a research-oriented MS in image processing from Lomonosov MSU with hands-on DevOps expertise—Ansible, Go, Python, Docker/Moby BuildKit, GitLab CI and multi-arch container builds for multi-GPU training and inference. His background spans designing GPU-enabled Kubernetes and Kubeflow deployments, observability and storage stacks, and automating CI/CD for large-scale computer vision services on GCP and AWS. Unusually, he has deep experience across the entire ML lifecycle—from dataset curation and LFW-style CV validation to resilient, automated production releases of multi-GPU workloads.
10 years of coding experience
10 years of employment as a software developer
Master of Science (MS), Computer Science Department, Applied mathematics division., Master of Science (MS), Computer Science Department, Applied mathematics division. at Kemerovo State University
Lomonosov Moscow State University
English, Russian