Summary
Ilia Pakhomov is a Staff MLOps Engineer based in Prague with 11 years of experience building cloud-native ML and data platforms that shorten model release cycles and automate operational workflows. He specializes in productionizing models, CI/CD for ML, near real-time inference, orchestration with Airflow and Kubernetes, and observability on Google Cloud and Vertex AI. At Wrike he led projects that cut model release time from weeks to days, reduced anomaly detection time by ~60%, and delivered LLM-based knowledge search and causal inference automation that materially increased team throughput. Comfortable across Python, large-scale data processing, and containerized deployments, he blends hands-on engineering with product-focused enablement for data teams. A practical problem-solver, he has a history of turning research prototypes into repeatable, monitored services that reduce manual effort and accelerate decision-making.
11 years of coding experience
9 years of employment as a software developer
Bachelor's degree, Information Technology, 4B, Bachelor's degree, Information Technology, 4B at ITMO University
Русский, Английский