Thirteen years in enterprise IT — from Windows, Active Directory, and VMware estates with strict uptime requirements to a self-hosted, high-availability Kubernetes and GPU datacenter. I operate and improve production infrastructure with an emphasis on reliability, recovery, observability, and change safety. This site is my technical portfolio and lab notebook.
Open to full-time W-2 infrastructure / systems engineering roles — Philadelphia area or remote. Not available for contract or freelance work.
Active Directory, Entra ID, Azure AD Connect, Conditional Access, Exchange Online, SharePoint / OneDrive, Intune.
High-availability K3s with kube-vip, Terraform / Ansible provisioning, GitOps, and a drift-controlled, repeatable approach to infrastructure.
Intune baselines, CrowdStrike, Defender for Endpoint, CIS benchmarks, and audit-friendly controls including HIPAA contexts.
Veeam, Proxmox Backup Server, restore validation, RPO / RTO planning, and operational runbooks.
VMware vSphere / ESXi, Proxmox / KVM, GPU passthrough, ZFS-backed storage, and backup / recovery patterns.
A heterogeneous multi-GPU NVIDIA fleet for local inference and retrieval — owning the platform layer: scheduling, monitoring, and data-layer durability.
Refitting a single 48 GB Blackwell node for 70B-class inference: the procurement pivot, a silent runtime trap that quietly halved throughput, sustained-load measurements, and the discipline of building a capability and then not promoting it.
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Two controlled benchmarks settle it: storage precision buys disk and speed; only compute precision buys serving VRAM.
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The recorded root cause didn't survive contact with the live system. Fail-closed hardening and real alerting, with no data lost.
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Migration planning for virtualization estates after Broadcom's acquisition — including GPU-aware workloads.
Read →I'm looking for full-time W-2 infrastructure, systems, or platform engineering roles in the Philadelphia area or remote. The fastest way to reach me is LinkedIn or email.
