Felix Rosen is an AI Systems Engineer based in Sweden with 10 years of experience building cloud-native, GPU-accelerated infrastructure for production ML and autonomous systems. He has a track record of turning research prototypes into high-throughput, cost-efficient pipelines—most notably redesigning a GDPR-compliant video anonymization flow to boost performance 15x and cut costs by 86%, and migrating HD map generation to GPU for a 5x speedup. Comfortable across the stack, Felix has built ETL and sensor ingestion systems, observability and CI/CD tooling, and real-time message architectures on GCP and Kubernetes. He mentors teams on pragmatic architecture and rapid delivery, and now focuses on squeezing latency and GPU utilization for scalable LLM inference at evroc. An understated strength is his ability to translate regulatory constraints into performant engineering designs that preserve privacy without sacrificing throughput.
10 years of coding experience
3 years of employment as a software developer
Filosofie kandidatexamen (fil.kand.), Datorvetenskap, Filosofie kandidatexamen (fil.kand.), Datorvetenskap at University of Gothenburg
Contributions:2 PRs, 25 pushes, 3 branches in 8 years 5 months
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