Egor Karpov is an AI Engineer based in Paris with 10 years of hands-on experience building and deploying ML systems and backend services. He specializes in Python and Go, optimizing PyTorch workloads, running Triton inference, and delivering real-time video and audio streaming applications alongside classic web/mobile backends. Egor is comfortable across the stack—Kubernetes and cloud (AWS, GCP, Scaleway), Terraform-managed infra, and CI/CD pipelines—having taken models from research to production. He also brings payments and analytics integration experience (Stripe, Paddle, Square) that helps bridge engineering and business needs. A CS graduate from Higher School of Economics, he combines engineering depth with practical deployment know-how and a pragmatic focus on operational reliability.
10 years of coding experience
High School Diploma, Applied Mathematics, High School Diploma, Applied Mathematics at Moscow State School 57
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Higher School of Economics
Contributions:16 reviews, 23 commits, 49 PRs in 2 months
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