Victor Salvacruz
Sr Advisory Technology Architect & Sr Ai Storage Consultant @Cylix Applied Intelligence
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WORK HISTORY
Sr Advisory Technology Architect & Sr Ai Storage Consultant @Cylix Applied Intelligence
Fairfield, CA, US
I’m a Senior Advisory Technology Architect at ProudCloud and a Sr. AI Storage Consultant at Cylix Solutions, working at the intersection of technology strategy, cloud architecture, and AI infrastructure.At ProudCloud, I advise founders, executives, and engineering teams on building scalable, high-quality digital platforms, translating business goals into resilient, cloud-native architectures. ProudCloud’s agile, collaborative culture enables rapid innovation while maintaining technical excellence, helping organizations reduce risk and accelerate delivery.At Cylix Solutions, I guide organizations adopting AI and High Performance Computing (HPC) workloads, optimizing infrastructure, storage, and GPU-accelerated platforms. I partner with technical teams and decision-makers to craft tailored solutions that maximize performance, ROI, and long-term growth. Cylix’s focus on advanced AI adoption and enterprise-grade HPC enables me to combine technical insight with client advisory for meaningful impact.I thrive at the intersection of technology and business, helping organizations transform ideas into scalable, future-ready solutions—whether through advisory, architecture, or consultative pre-sales engagements.
SKILLS
ABOUT VICTOR SALVACRUZ
Experienced Solutions Architect / Sales Engineer / Solutions Engineer with a background in AI/ML infrastructure, Data Analytics, High-Performance Computing, Cloud Solutions, and Enterprise Software, and Data Storage. Skilled in designing and deploying scalable applications across both containerized environments (Kubernetes) and traditional infrastructure, leveraging Virtualization, CI/CD automation, and cloud-native or on-prem architectures. Proficient in databases, software-defined storage, Block, File and Object storage, caching, and data analytics, with exposure to AI/ML workloads to support performance and scalability considerations across distributed systems.
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