Platform Architecture & Validation
Turn ambiguous requirements into practical platform designs, validation paths, operational runbooks, and implementation guidance.
Strong alignment: Staff/Principal platform engineering, platform and infrastructure architecture, distributed systems engineering, SRE/reliability, AI/HPC infrastructure, storage and data platform architecture, solutions architecture, and customer-facing technical leadership.
I bring 15+ years of enterprise infrastructure experience across distributed systems, enterprise storage, VMware, Linux, networking, automation, telemetry, customer escalation, and AI/HPC infrastructure. I am strongest in roles where production behavior, customer impact, platform architecture, and engineering reality have to be aligned.
Much of my career has been close to production incidents, customer escalation, and complex infrastructure behavior. My strongest next step is work that moves upstream into platform architecture, reliability improvement, diagnostic ownership, customer-facing technical leadership, and systems engineering where cross-layer reasoning matters.
Turn ambiguous requirements into practical platform designs, validation paths, operational runbooks, and implementation guidance.
Diagnose healthy-looking infrastructure when availability, performance, or customer impact tells a different story.
Trace problems across client, compute, network, storage, virtualization, telemetry, and workload behavior.
Turn low-level evidence into clear next steps for engineering, support, product, customer, and leadership teams.
My background is strongest where infrastructure behavior, customer impact, and engineering ownership intersect.
Architecture guidance, solution design support, validation paths, implementation guidance, and operational handoff.
Systems thinking across compute, storage, network, virtualization, observability, automation, and workload behavior.
Failure-domain analysis, operational evidence, repeatability, incident learning, and remediation design.
Technical explanation, customer stabilization, architecture review, and engineering-aligned communication.
Representative roles aligned to which I am open for discussions further on - I look forward to connecting!
The common thread is platform reliability, architecture judgment, diagnostic ownership, and customer-facing technical depth.
VAST Data Platform / AI OS context, DataStore / DataBase / DataEngine / DataSpace exposure, distributed storage, NAS/S3, GPU workload behavior, workload readiness, customer escalations, telemetry correlation.
Enterprise storage, VMware escalation, server/storage/network interaction, high-availability review, validation testbeds, automation, L4 diagnostics.
Infrastructure reliability, solution design support, validation paths, automation-backed handoff, documentation, diagnostics, and advisory work. Selected details limited by confidentiality.