About

SD Tech Solutions is a seasoned IT shop covering the full stack — physical cabling and server racks at one end, on-prem and cloud-hosted clustered compute in the middle, custom software and AI on top.

The work spans IT admin, IT ops, DevOps, software development, and SaaS delivery for hire. Engagements range from a single-site office build-out to multi-site networks, hybrid cloud workloads, and on-prem private LLMs that replace per-seat AI subscriptions.

The goal across all of it is the same: environments that are understandable, repeatable, and easy to support — built once, documented properly, and handed back to the team in a state where they own it.

Focus Areas

End-to-end IT for small and mid-size organizations: physical infrastructure, identity, networking, storage, cloud, software, and AI.

  • Physical infrastructure I personally oversee or run: ethernet cabling, server-rack builds, structured cabling, UPS, and patch panels.
  • Networking from the ground up: L2/L3 switching, VLAN design, hardware firewalls, site-to-site VPNs, and wireless point-to-point bridges and backhauls (CPE710-class radios for distance links).
  • On-prem servers — Windows Server (AD DS, DNS/DHCP, GPO, IIS, Hyper-V) and Linux (Ubuntu, RHEL/Fedora) — alongside dedicated backup servers and snapshot-based recovery.
  • Cloud and hybrid: Azure (VMs, Entra ID, Intune, M365, Purview), AWS (EC2, S3, IAM, networking), and clustered VM workloads that span on-prem and cloud.
  • Software for hire: PHP/Linux web apps, custom internal tools, ticketing portals, dashboards, and SaaS-style products billed by retainer or fixed scope.
  • ERP and CRM integration: pulling enterprise data into custom workflows, automations, and AI assistants so the systems already in place actually talk to each other.
  • AI as part of the stack — not bolted on: on-prem private LLMs for sensitive data, agentic workflows (Claude Code, MCP, custom orchestrators), and AI-assisted ops.

Approach

Assess what’s actually there, stabilize what’s fragile, then modernize and automate — including AI where it pays for itself.

  • Start with a real assessment: walk the rack, read the firewall, audit AD/Entra, look at the backups — not just a questionnaire.
  • Stabilize the fundamentals first — identity, networking, storage, and backup — so the daily fire-fighting stops before any redesign work begins.
  • Modernize pragmatically: replace what genuinely needs replacing, virtualize what makes sense, move to cloud only where the math works.
  • Automate the repetitive: PowerShell and Bash for ops, Power Automate for business workflows, IaC-style configs for repeatable rebuilds.
  • Layer in security as a default — hardened baselines, MFA everywhere, least-privilege access, central logging — not as a separate "security project."
  • Bring AI in where the ROI is real: a private on-prem LLM running on a single capable server can replace dozens of $200/seat subscriptions for many orgs, with full data sovereignty.
  • Document as I go: diagrams, runbooks, and a maintenance plan an in-house team can actually pick up.

How I Work

Clear scope, small proofs, hands-on delivery, and documentation that outlives the engagement.

  • Define scope, success criteria, and constraints up front so everyone knows what "done" looks like — and what is explicitly out of scope.
  • Run small proof-of-concepts before rolling changes across an environment: stand up the new firewall in parallel, mirror the workload, validate, then cut over.
  • Engage hands-on: I run the cabling, rack the server, configure the firewall, build the AD/Entra design, write the script, ship the app — and supervise the trades I don’t do myself.
  • Use git, configuration-as-code, and versioned scripts so changes are reviewable instead of living in someone’s head.
  • Bring creative answers when the constraint is real — older systems, tight budgets, regulated data, or no internet at the destination.
  • Iterate: ship something useful, gather feedback, refine. Avoid month-long radio silence followed by a big-bang reveal.
  • Hand back diagrams, runbooks, and a maintenance schedule the in-house team can follow on a busy Monday morning.
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