Alessandro di Stefano
Principal Software Engineer @Red Hat
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WORK HISTORY
Principal Software Engineer @Red Hat
London, GB
Defining and tracking key performance indicators (KPIs) and service level objectives (SLOs) for large-scale distributed LLM inference services running on Kubernetes and OpenShift.• Contributing performance roadmap for distributed AI/LLM inference, including multi-node and multi-GPU scaling studies, interconnect performance analysis, and competitive benchmarking.• Optimizing distributed inference systems for throughput, latency, and resource efficiency by tuning scheduling, GPU utilization, and communication patterns across Kubernetes and OpenShift clusters.• Designing and executing performance test plans and benchmarks to characterize system behavior, identify bottlenecks, and guide performance improvements through data-driven analysis and visualization.Technologies: vLLM, LLM-D, Open Data Hub, Openshift AI, Kubernetes, eBPF, Open Telemetry, Python, Python AI & Data Science Ecosystem
EDUCATION
Università di Catania
Bachelor's degree, Computer Engineering
Istituto Musicale V. Bellini
Diploma in teoria e solfeggio musicale, Flauto Traverso
Deeplearn 2019
Summer School for PhD students, Machine learning/Deep Learning
VI Mediterranean school of complex networks
Summer School for PhD students
Università di Catania
Master's degree, Computer engineering
Università di Catania
Doctor of Philosophy - PhD, Computer Systems Networking and Telecommunications
SKILLS
ABOUT ALESSANDRO DI STEFANO
I\'m passionate about building intelligent, adaptable, cloud-native systems at the intersection of distributed computing, DevOps, MLOps, and AI, in and on Kubernetes. As a Senior Software Engineer in the OpenShift Multi-Architecture & Systems Enablement team at Red Hat, I work on scheduling, resource optimization, and systems resilience in heterogeneous environments.My deeper mission is to bridge the rigor of academic research with the fast-paced, practical demands of industry—translating ideas into robust infrastructure that delivers value at scale. I hold a PhD in Distributed Computing, where I specialized in AIOps for PaaS systems, focusing on how AI-driven automation can support infrastructure decision-making and operational resilience.Before joining Red Hat, I spent five years as an independent consultant specializing in Software architecture, DevOps and platform engineering. I\'ve mentored students at the University of Catania\'s Distributed Computing Lab, providing lectures and supervising bachelor’s and master’s dissertations.I\'m driven by a deep belief in open collaboration, education, and a decentralized, censorship-resistant internet. To me, Free and Open Source Software is more than code—it\'s a philosophy of transparency, empowerment, and collective progress.When I\'m not engineering systems, you\'ll find me hiking, climbing, at a live music concert, or reading sci-fi and computer science.
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