Summary
Pavel Iakovenko is a technical leader with 12 years of experience building large-scale data and developer platforms, currently focused on developer experience at xAI after leading data platform and devtools teams at Avride. He designs scalable CI/CD, build systems and cloud infrastructure that power ML and autonomous systems, having overseen pipelines that handle hundreds of terabytes daily and multi-region AWS-like deployments. Skilled across Python, C++, Kubernetes, Spark, Kafka, Iceberg and ClickHouse, he blends low-level performance engineering with infrastructure-as-code and observability practices. Pavel has a strong track record of boosting reliability and developer productivity—shipping a company-wide CI/CD for ~200 engineers and improving payment platform availability to 99.9%—and mentors teams in DevOps best practices. He holds degrees from MIPT and Yandex School of Data Analysis, and brings a habit of turning complex data workflows into pragmatic, cost-efficient systems.
12 years of coding experience
International Baccalaureate
Master's degree Mathematics and Computer Science, Master's degree Mathematics and Computer Science at Moscow Institute of Physics and Technology (State University) (MIPT)
Big Data, Big Data at Yandex School of Data Analysis
Russian, English, Spanish