A senior network, cloud, and cybersecurity architect that also designs and builds practical AI-enabled and agentic automation systems.
We help organizations design resilient infrastructure, strengthen cybersecurity, modernize cloud environments, and build practical AI-enabled workflows — with security, privacy, and human oversight built in.
Five focused disciplines, led by a senior architect — secure infrastructure, multi-cloud, practical AI, automation, and advisory. Each engagement is designed, built, and reviewed with security, privacy, and human oversight at the core.
Senior firewall architecture, segmentation, and security assessment across multi-vendor environments — with the network and WAN depth to back it up.
Explore CybersecuritySecure, resilient architecture across AWS, Azure, and GCP — landing zones, segmentation, hybrid connectivity, and infrastructure as code.
Explore Cloud ArchitectureSecure AI applications, copilots, RAG, and agentic tool-using workflows — with human-reviewed recommendations, privacy controls, and audit logging built in.
Explore AI & AutomationTerraform, Ansible, and Python automation with CI/CD, security scanning, policy-as-code, and drift detection — infrastructure delivered as reviewable, governed code.
Explore Automation & DevSecOpsModern, architecture-led training and advisory for technical teams — cloud, cybersecurity, zero-trust, Terraform/IaC, automation, and AI for IT and security.
Explore Training & AdvisoryWe apply AI to the parts of cloud and cybersecurity work that are slow, repetitive, and easy to get wrong at scale — evidence collection, configuration review, policy analysis, cloud-posture assessment, and remediation planning. The AI reads configurations, cross-references policy, and drafts findings and recommendations; your engineers review the output and keep control over every final decision.
Reviews firewall rulebases and segmentation policy to surface overly permissive, redundant, and risky rules, then drafts least-privilege recommendations for an engineer to confirm before any change is made.
Assesses cloud and multi-cloud configurations against secure-architecture and posture baselines — IAM, encryption, logging, and segmentation — and summarizes gaps with prioritized, human-reviewed remediation options.
Gathers and organizes configuration evidence and maps it to control requirements, drafting audit-ready summaries that your team verifies — reducing manual evidence collection without replacing reviewer judgment.
Correlates alerts and context to draft triage summaries and suggested next steps, helping analysts prioritize faster while decisions and response actions stay with the responding team.
Reviews Terraform and other infrastructure-as-code against security and policy checks, flagging misconfigurations and drafting suggested fixes for an engineer to approve before they reach a pipeline.
Agentic AI describes systems that follow a defined goal, call approved tools, retrieve the data they need, run checks, and draft recommendations — working through multi-step tasks rather than answering a single prompt. In our designs the agent does the legwork and proposes a course of action, while a qualified person stays in control of the final decision.
Read-only workflows analyze configurations, policy, and posture and produce findings and recommendations. They observe and advise only — they make no changes to your environment.
Action-taking workflows can prepare or stage changes, but they are gated: production changes require explicit human approval before they are applied, and an engineer remains accountable for the result.
Production changes require explicit approval.
A privacy-first decision-support platform that helps academic advising teams work through degree audits faster while keeping a qualified advisor in control of every recommendation. The system performs degree-audit analysis, extracts program requirements, evaluates completed coursework, and runs graduation-readiness checks, then drafts suggested course plans and advisor-reviewed summaries for a human to confirm. It is delivered as a React and Flask application backed by structured APIs and AI analysis engines, with a choice of AWS Bedrock or local LLM deployment and AnythingLLM integration for retrieval-augmented analysis over program documentation. Security and privacy are designed in: Terraform-based cloud security modules provision the environment, sensitive identifiers are pseudonymized before analysis with encrypted mapping storage, audit logging records each step, and the design follows FERPA-aware documentation practices. The platform is described here at an architectural and capability level only — it processes no student data or private records in this showcase and exposes no repository internals.
Concrete, scoped ways to engage — each package names the problem it solves, the outcome you receive, and exactly what's delivered.
Teams know AI could help but can't tell which use cases are worth pursuing, which are safe, or where to start.
A clear, prioritized picture of where AI fits your work — ranked by feasibility and risk — with a concrete roadmap and a recommended first prototype.
You have a promising AI use case but need to prove it works on your data with proper security and human oversight before committing further.
A working, security-conscious AI workflow prototype validated against your real use case, with a clear path to deployment.
Cloud and security teams lose time searching runbooks, policies, and knowledge bases for answers that should be instant.
A governed, access-controlled AI assistant that retrieves your runbooks and policies and supports approved tool-calling workflows — with full audit logging and admin documentation.
Firewall rulebases and cloud architecture have grown complex over time, and it's unclear where the real risks and gaps are.
A prioritized, evidence-based view of your firewall and cloud security posture with a clear remediation roadmap and an executive summary for leadership.
Manual, repetitive infrastructure work slows delivery and introduces risk, but adopting automation safely is hard to plan.
A practical roadmap to automate your infrastructure with Terraform, Ansible, and CI/CD — including security scanning and change-control integration built in from the start.
Principal — Senior Network, Cloud & Cybersecurity Architect
Dr. Ibrahim El-Shekeil is a senior network, cloud, and cybersecurity architect with more than 20 years of experience across healthcare, government, pharmaceutical, commercial, and enterprise environments. His work spans secure infrastructure design, multi-cloud architecture, and practical, governed AI — pairing deep hands-on engineering with research-grounded judgment. He describes engagements by industry and environment type rather than by client, focusing on the architecture, security, and outcomes delivered in regulated and large-scale settings.
We help organizations across Minnesota and nationwide design resilient, secure infrastructure — advising on the right architecture, planning the implementation, and staying available for escalation when the hard problems surface. Here's why they choose us.
We start with your real requirements, not a product catalog. You get senior advisory guidance that frames the right architecture for today and a path that scales tomorrow.
Our work is led by certified architects across networking, security, and cloud platforms, so your environment is designed to professional standards from the ground up.
Every design embeds security at the architecture level — firewalls, segmentation, zero-trust zones, and monitoring — rather than bolting it on after the fact.
We don't stop at recommendations. We plan and deliver the implementation, then validate that what was designed is what actually runs in production.
We provide vendor-neutral technology selection and implementation planning — recommending the right platform for your situation, not the brand that benefits us.
When complex issues arise, you have a senior partner to escalate to — architecture-level guidance and hands-on help to resolve the hard problems, not a ticket queue.
Smart Internetworks is proud to call Minnesota home, with deep roots serving local businesses. We support clients remotely nationwide with senior architecture, advisory, and implementation expertise.
Our home base. We provide on-site design consultations and hands-on implementation across the Twin Cities metro and greater Minnesota.
No matter where your business operates, Smart Internetworks can architect, advise on, and help implement your infrastructure remotely, coordinating with your teams and on-site partners to keep quality consistent at every site.
Tell us about your project. We'll respond within one business day with a consultation plan tailored to your needs.
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info@smartinternetworks.comWe respond to all inquiries within 1 business day. For urgent network issues, reach out and we'll prioritize your request.