Javier פלבניק is a solutions architect with nearly two decades in technology, blending hands-on software development and BI expertise into AI and logistics-focused architecture roles. He has led solution design and product-alignment efforts at Run:AI and now NVIDIA, and previously delivered BI platforms and data warehouses for enterprises like Kimberly‑Clark and national transport systems. His background spans end-to-end systems—from embedded ticketing hardware and fleet sensors to scalable SaaS logistics and AI compute orchestration—giving him unusually deep operational insight into production constraints. Trained in systems engineering and entrepreneurship, he excels at translating complex business needs into pragmatic architectures that accelerate deployment and ROI. Colleagues value him for finding quick wins in change pipelines while keeping long-term product strategy in view.
11 years of coding experience
11 years of employment as a software developer
Bachelor’s Degree, Systems Engineering, Bachelor’s Degree, Systems Engineering at Universidad Tecnológica Nacional
2005, Computer Science, 2005, Computer Science at ORT Colleges
Specialization, Entrepreneurship and Innovation Development Program, Specialization, Entrepreneurship and Innovation Development Program at Lahav Executive Education
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