Summary
Dmitry Kozlov is a Senior Software Engineer based in the San Francisco Bay Area with 10 years of experience building and operating production ML and infrastructure systems. He currently works on NVIDIA’s Deep Learning Frameworks Infrastructure, automating multi-arch container builds, multi-GPU training/inference environments, and end-to-end provisioning using Ansible, GitLab CI, Docker and BuildKit. Previously he combined SRE, MLOps and computer vision expertise at Gigster and multiple startups, shipping Kubernetes/Kubeflow deployments, GPU operator integrations, distributed tracing and scaling strategies for CV services. His background spans deep learning model development (face recognition, spoof detection) and low-level systems work, giving him a rare full-stack perspective from model to cluster. Dmitry holds advanced training in image processing and applied mathematics and often bridges research-quality CV pipelines with hardened deployment automation. An understated strength is his track record of rebuilding complex ML stacks from scratch into repeatable, multi-tenant deployments that reliably handle GPU resource challenges.
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