Summary
Pavel Kulikov is an engineering leader with 12 years of experience building ML, data and backend infrastructure across fast-paced startups and scale-ups. He has led production ML efforts at Revolut—owning computer vision pipelines, Kubeflow/Dataflow orchestration, Kafka-backed ETL, and Kubernetes-driven microservices—while managing teams and hiring. At VisionLabs he delivered large-scale dataset gathering and preprocessing (including social profile and gaze datasets measured in millions of images) and production face-recognition pipelines. His background spans full-stack backend and devops practices, Terraform/Helm infrastructure, and both Python/PyTorch and Java ecosystems. Based in London, he combines hands-on implementation with operational rigor to move research models into reliable production systems. Colleagues describe him as a pragmatic engineer who excels at stitching complex data flows, real-time streaming, and model deployment into maintainable platforms.
12 years of coding experience
14 years of employment as a software developer
Master of Science - MS, Computer Software Engineering, Master of Science - MS, Computer Software Engineering at National Research University of Electronic Technology (MIET)
English