
Erik is a senior MLOps Engineer with over 14 years of experience in performance-critical systems and cloud infrastructure. His background includes large-scale distributed systems before specializing in ML operations. He has supported US-based companies running ML workloads under strict latency and throughput requirements.

Erik has optimized ML serving systems, training pipelines, and infrastructure for performance and cost efficiency. He is particularly strong in identifying bottlenecks across the ML stack.
His approach is performance-driven: he treats ML systems as production systems that must meet clear SLOs and operational guarantees.
