AI INFRASTRUCTURE & SYSTEMSSECURITY GOVERNANCEAI AGENTS & MCP

MASOUD
ZEYNALI

AI InfrastructureAI Agents & MCPSystems Engineering

Senior AI Engineer — Agents, MCP & Infrastructure

Nearly two decades of enterprise IT and infrastructure engineering experience, combined with senior AI engineering focused on AI agents, Model Context Protocol (MCP), infrastructure automation, and secure AI-assisted operations.

Explore My Work About Me

AI / MCPConceptual portfolio map

ENTERPRISE INFRASTRUCTURE FOUNDATION

~20YEARS

ENTERPRISE INFRASTRUCTURE

Continuous enterprise systems engineering & operations

30+

TECHNICAL TEAM SUPERVISED

Direct supervision of engineers, administrators & IT specialists

300+

MANAGED WINDOWS ENDPOINTS

Centralized Active Directory, Group Policy & endpoint management

Explore my work

Featured technologies

Go
.NET
Next.js
PostgreSQL
Linux
MCP
OpenFlows Sewer
AutoCAD 2021
WPF

All technologies

Featured projects

Explore all project details

InfraForge
Agentic Infrastructure Operations via Model Context Protocol (MCP)
ACTIVE DEVELOPMENT
Ops
An offline-first operations and diagnostic control plane
IN DEVELOPMENT
Probe
Independent server monitoring through a controlled API
LINUX PILOT · ACCEPTED
SewerPilot
A version-tolerant interface to OpenFlows Sewer models
IN DEVELOPMENT
DccSentry
Offline document compliance and review workflow
DESKTOP CORE · VALIDATED
EngiSentry
Read-first engineering checks for complex AutoCAD drawings
REAL-DWG PILOT · REVIEW-GATED
BaravardYar
A Persian desktop estimator grounded in official price books
v1.0.5 · RELEASE VERIFIED
PlotWise
Controlled plotting workflows for engineering DWG files
IN DEVELOPMENT

RECRUITER FAST SCAN

Senior AI Engineer — Agents, MCP & Infrastructure

FOCUS

AI Infrastructure · AI Agents & MCP · Systems Engineering

FOUNDATION

Nearly two decades of enterprise IT and infrastructure engineering experience

OPERATING SCALE

30+ technical staff and specialists supervised · 300+ managed Windows endpoints

CURRENT ROLE

Deputy Head of Information Technology Department

LOCATION

Tehran, Iran

Download CV (EN)Contact

DOMAIN::SYSTEMS_ENGINEERING

GOVERNANCE::ENTERPRISE_IT

FOCUS::RESILIENT_OPERATIONS

01 / PROFILE|SYSTEMS ARCHITECTURE

ENGINEERING EVOLUTION & TECHNICAL GOVERNANCE

Hands-on operational roots to enterprise IT leadership.

Masoud’s career began in hands-on IT support, troubleshooting, and network operations, building a practical foundation across Windows client environments, Active Directory support, Group Policy, and organization-wide incident resolution. His responsibilities later expanded into the design and management of enterprise network infrastructure, administration and security of enterprise server environments, and centralized endpoint operations across more than 300 Windows endpoints.

As his responsibilities grew, Masoud moved into IT leadership and departmental responsibility, leading infrastructure development planning, defining the organization’s technology roadmap, supervising critical technology projects, and guiding more than 30 technical staff and specialists across network, security, help desk, and infrastructure functions. Today, nearly two decades of enterprise IT, infrastructure governance, and network security leadership serve as the foundation for his current engineering direction as a Senior AI Engineer—focused on AI agents, Model Context Protocol (MCP), infrastructure automation, and secure AI-assisted operational workflows.

ENGINEERING DISCIPLINES & PRINCIPLESCORE TENETS

INFRA::RELIABILITY

RELIABILITY

Infrastructure should remain stable and operational.

SECURITY::DESIGN

SECURITY

Infrastructure and network decisions should be security-conscious.

OPS::AUTOMATION

AUTOMATION

Recurring operational processes should be automated where appropriate.

LEADERSHIP::OUTCOMES

LEADERSHIP

Technical decisions should translate into practical organizational outcomes.

02 / CAREER|PROFESSIONAL TRAJECTORY

CAREER JOURNEY & LEADERSHIP PROGRESSION

Continuous progression across nearly two decades of professional IT experience, advancing from hands-on IT support and network operations to infrastructure ownership and departmental leadership.

Tehran Raymand Consulting Engineers

2007 — Present

Tehran, Iran

STAGE 01 · OPERATIONAL FOUNDATION

6 years

ROLE::SUPPORT_FOUNDATION

Help Desk and Network Support Specialist

Built a hands-on support foundation through technical troubleshooting, network infrastructure support, Active Directory services, and Windows client environments.

KEY RESPONSIBILITIES & SCOPE:

Technical support and advanced troubleshooting for network infrastructure, Active Directory services, and Windows client environments.
Implementation and management of centralized Group Policy Objects (GPO) and resolution of organization-wide hardware and software incidents.
Handling user requests and support tickets while improving the consistency, response quality, and reliability of IT support services.

STAGE 02 · INFRASTRUCTURE OWNERSHIP

7 years

ROLE::NETWORK_INFRA

Network Manager

Designed, implemented, and managed the company’s network architecture while maintaining the availability, stability, and security of critical internal services.

KEY RESPONSIBILITIES & SCOPE:

Administration and security of enterprise server environments, including Microsoft Exchange and MDaemon.
Sophos Firewall administration for traffic control, monitoring, NAT, policy enforcement, and perimeter protection.
Centralized administration of more than 300 Windows endpoints, including patch management, software distribution, and automation through ManageEngine Endpoint Central.

VERIFIED SCALE:300+ Windows endpoints

VERIFIED CONTEXT

STAGE 03 · IT LEADERSHIP

Last 5 years — Present

ROLE::IT_LEADERSHIP

Deputy Head of Information Technology Department

Leads the IT department, plans infrastructure development, defines the organization’s technology roadmap, and supervises critical technology projects while contributing to resource allocation, IT budgeting, and technology lifecycle oversight.

KEY RESPONSIBILITIES & SCOPE:

Direct supervision, evaluation, and guidance of more than 30 employees, senior specialists, and technical professionals across network, security, help desk, and infrastructure functions.
Infrastructure development planning, technology roadmap definition, and oversight of critical technology projects.
Resource allocation, contribution to IT budgeting, technology asset lifecycle oversight, and development of the team’s technical capabilities.

VERIFIED SCALE:30+ technical staff and specialists

VERIFIED CONTEXT

03 / EXPERTISE|TECHNICAL MATRIX

TECHNOLOGY LANDSCAPE

A structured engineering matrix spanning enterprise platforms, network security, messaging, edge and cloud infrastructure, endpoint governance, and senior AI engineering across agents and Model Context Protocol (MCP).

01DOMAIN

INFRASTRUCTURE & PLATFORMS

Administration and operation of Windows Server and Linux environments, with Active Directory, Group Policy, Docker, and supporting enterprise services.

Windows Server
Linux
Active Directory
Group Policy
Docker

02DOMAIN

NETWORKING & SECURITY

Network security and traffic administration spanning firewall policy, NAT, DNS, SSH, defensive controls, network monitoring, and connectivity technologies.

Sophos Firewall
NAT
DNS
SSH
Fail2ban
Network Monitoring
V2Ray / VLESS

03DOMAIN

MESSAGING & COLLABORATION

Administration of enterprise messaging environments and secure mail infrastructure across Microsoft Exchange, MDaemon, Mailcow, and SSL/TLS certificate operations.

Microsoft Exchange
MDaemon
Mailcow
SSL / TLS

04DOMAIN

WEB & CLOUD

Linux web services and cloud-based traffic management using Nginx, Caddy, Cloudflare DNS, Cloudflare Workers, redirects, and domain forwarding.

Nginx
Caddy
Cloudflare DNS
Cloudflare Workers
Redirects
Domain Forwarding

05DOMAIN

ENDPOINT OPERATIONS

Centralized Windows endpoint administration at 300+ device scale, covering patch management, software distribution, automation, and operational control with ManageEngine Endpoint Central.

ManageEngine Endpoint Central
Windows Endpoints
Patch Management
Software Distribution
Endpoint Automation

VERIFIED SCALE:300+ WINDOWS ENDPOINTS

06DOMAIN

AI ENGINEERING, AGENTS & MCP

Senior AI engineering focused on agentic systems, Model Context Protocol (MCP), LLM-assisted infrastructure operations, operational reasoning, and automation across modern infrastructure workflows.

AI Agents
Agentic Workflows
Model Context Protocol (MCP)
Large Language Models
LLM Integration
Infrastructure Automation
Operational Reasoning
Log Analysis
AI-assisted Troubleshooting
Tool Integration
Context Engineering
Scripting & Automation

04 / SELECTED WORK|CASE STUDY

ENGINEERING IN PRACTICE

Selected engineering work illustrating AI engineering at the infrastructure boundary—where systems operations, security controls, and agentic workflows converge.

PROJECT 01 / FEATURED/CASE DOSSIER

InfraForge

Agentic Infrastructure Operations via Model Context Protocol (MCP)

PERSONAL ENGINEERING PROJECTACTIVE DEVELOPMENT

VIEW REPOSITORY

THE PROBLEM

AI-assisted infrastructure tooling becomes significantly more useful when it can understand real server environments, but direct and unrestricted infrastructure access introduces serious security and operational concerns. InfraForge explores a controlled interface between AI-assisted workflows and Linux infrastructure, with an emphasis on least privilege, structured discovery, and explicit operational boundaries.

SYSTEM INTENT

InfraForge is designed as an MCP-oriented infrastructure server/tool that can represent servers, support controlled discovery and inventory workflows, and provide a foundation for AI-assisted infrastructure interaction without treating unrestricted shell access as the default operating model.

CONCEPTUAL ARCHITECTUREINTEGRATION FLOW

FIVE-NODE CONCEPTUAL BOUNDARY

NODE 01AI / MCP CLIENTASSISTED WORKFLOW
NODE 02INFRAFORGECONTROL & CONTEXT LAYER
NODE 03SERVER ACCESSRESTRICTED SSH INTERFACE
NODE 04LINUX INFRASTRUCTURESERVER TARGETS
NODE 05DISCOVERY & INVENTORYSTRUCTURED INFRASTRUCTURE CONTEXT

ENGINEERING PRINCIPLES/OPERATIONAL BOUNDARIES

FOUR PROJECT TENETS

PRINCIPLE::01

LEAST PRIVILEGE

Infrastructure access should expose only the capabilities required for the intended operational task.

PRINCIPLE::02

CREDENTIAL HYGIENE

Credentials, private keys, and sensitive access material are treated as protected data that should remain outside normal operational logs.

PRINCIPLE::03

CONTROLLED ONBOARDING

Server onboarding establishes explicit access boundaries and predictable monitoring behavior rather than relying on unrestricted administrative sessions.

PRINCIPLE::04

AUTOMATION WITH GUARDRAILS

Repetitive infrastructure workflows can be automated while preserving explicit boundaries around access and operational scope.

DEVELOPMENT SCOPE/VERIFIED TECHNOLOGIES

SCOPE BOUNDARY

Go
Model Context Protocol
SSH
Linux
PowerShell
Infrastructure Inventory
Inventory Reconciliation
Server Onboarding
Automation

ENGINEERING NOTES & SECURITY CONSTRAINTS/IMPLEMENTATION FOCUS

SAFE ARCHITECTURAL SCOPE

SERVER ONBOARDING

A dedicated `infra` monitoring account is configured with restrictive SSH controls as part of the project's least-privilege onboarding approach. Restrictive SSH controls reduce unnecessary session capabilities for the monitoring account.

INVENTORY RECONCILIATION

Structured reconciliation work focuses on maintaining a consistent representation of discovered infrastructure as server inventory changes over time.

SECURITY DESIGN REQUIREMENTS

›Administrative and MCP client authentication boundaries
›Protection of SSH credentials and private key material
›Treatment of sensitive access material outside operational logs
›Restrictive least-privilege server access model
›Network access restrictions and operational boundaries
›Controlled server onboarding and lifecycle behavior

GOVERNANCE: DESIGN CONSTRAINTS & REQUIREMENTS

PROJECT INDEX / 02—0807 / ADDITIONAL PROJECTS

MORE SYSTEMS. REAL ENGINEERING BOUNDARIES.

Seven additional projects across on-prem operations, observability, engineering applications and document workflows. Statuses describe verified milestones—not a claim that every feature is production-ready.

PROJECT / 02

ON-PREM IT OPERATIONS

Ops

An offline-first operations and diagnostic control plane

A single-server operations platform bringing infrastructure diagnostics, asset context and gated automation into a controlled on-prem environment. Server health is sourced through a separate monitoring service; endpoint integrations remain independently scoped.

SYSTEM FLOW

Operator / API
On-prem service
PostgreSQL & audit
Gated diagnostics

TECHNOLOGIES & DOMAIN

Go
PostgreSQL
REST API
Linux
RBAC

EXPLORE ENGINEERING DOSSIER

ENGINEERING PROBLEM

Bring together operational context without giving an automation agent unrestricted access or making cloud connectivity a requirement.

ARCHITECTURAL APPROACH

Separate server monitoring from endpoint collection; require explicit authorization, durable audit and fail-closed diagnostic behavior.

VERIFIED MILESTONE / LIMITATION

On-prem PostgreSQL migrations, repeatability and audit / denial tests passed acceptance. Additional integrations remain part of ongoing engineering work.

IN DEVELOPMENT

PROJECT / 03LINUX PILOT · ACCEPTED

INFRASTRUCTURE OBSERVABILITY

Probe

Independent server monitoring through a controlled API

A dedicated monitoring service for Linux infrastructure with structured health data, persistence and operational history. Designed to remain independent while exposing infrastructure context to permitted REST consumers.

SYSTEM FLOW

Linux targets
Probe collection
Persisted history
REST consumers

TECHNOLOGIES & DOMAIN

Linux
PostgreSQL
REST
Monitoring
Audit

EXPLORE ENGINEERING DOSSIER

ENGINEERING PROBLEM

Collect useful operational evidence without coupling the monitoring lifecycle to a larger IT management product.

ARCHITECTURAL APPROACH

Treat monitoring as a separate service with controlled access, history retention and tested backup / restore behavior.

VERIFIED MILESTONE / LIMITATION

Linux-only pilot acceptance closed successfully. Windows pilot coverage was deferred and is not presented as validated.

PROJECT / 04

ENGINEERING SOFTWARE INTEGRATION

SewerPilot

A version-tolerant interface to OpenFlows Sewer models

A desktop engineering workbench that interacts with OpenFlows Sewer through a guarded adapter layer. The confirmed real-runtime path reads conduit and structure information without modifying the source model.

SYSTEM FLOW

OpenFlows runtime
Capability adapter
Read-only model intake
Desktop workspace

TECHNOLOGIES & DOMAIN

C# / .NET
OpenFlows Sewer
Adapter Contracts
Desktop UI
Model Integrity

EXPLORE ENGINEERING DOSSIER

ENGINEERING PROBLEM

Integrate with a specialized engineering runtime without binding the product to one fixed vendor assembly shape or risking a live model.

ARCHITECTURAL APPROACH

Discover capabilities at runtime, gate unproven write and solver operations, and validate model integrity with unchanged source hashes.

VERIFIED MILESTONE / LIMITATION

Real-runtime read-only model access was proven; intake and automated regression checks also passed. Full graphical workflows and live engineering execution are separately validated before release.

IN DEVELOPMENT

PROJECT / 05DESKTOP CORE · VALIDATED

DOCUMENT ENGINEERING / COMPLIANCE

DccSentry

Offline document compliance and review workflow

A Windows desktop tool for checking engineering document packages against numbering, register and compliance rules, then presenting traceable findings for human review.

SYSTEM FLOW

Document packages
Local parsers / OCR
Compliance checks
Findings & review

TECHNOLOGIES & DOMAIN

C# / .NET
WPF
Tesseract
PDFium
Excel / PDF

EXPLORE ENGINEERING DOSSIER

ENGINEERING PROBLEM

Detect document-control issues in mixed PDF and spreadsheet inputs without relying on remote OCR or external SaaS.

ARCHITECTURAL APPROACH

Prefer native text extraction, use offline OCR only as fallback, and keep findings reviewable with explicit provenance.

VERIFIED MILESTONE / LIMITATION

Offline OCR and core desktop workflows have recorded passing acceptance and release milestones; this does not imply that every later release gate passed.

PROJECT / 06REAL-DWG PILOT · REVIEW-GATED

CAD QUALITY ASSURANCE

EngiSentry

Read-first engineering checks for complex AutoCAD drawings

An AutoCAD-oriented engineering validation suite covering drawing inspection, equipment association, semantic checks and plotting-related QA. Ambiguous relationships are surfaced for review instead of silently resolved.

SYSTEM FLOW

AutoCAD drawing
Read-only inspection
Semantic / QA engine
Review evidence

TECHNOLOGIES & DOMAIN

AutoCAD 2021
C# / .NET
DWG
Semantic QA
Drawing Validation

EXPLORE ENGINEERING DOSSIER

ENGINEERING PROBLEM

Turn inconsistent drawing geometry and annotations into actionable engineering findings without making unsafe assumptions.

ARCHITECTURAL APPROACH

Apply fail-closed checks and human review for uncertain equipment associations; protect source drawings during inspection.

VERIFIED MILESTONE / LIMITATION

Regression suites and real-DWG pilot checks ran successfully. The pilot still exposed incomplete and ambiguous associations requiring review.

PROJECT / 07v1.0.5 · RELEASE VERIFIED

CONSTRUCTION ESTIMATION

BaravardYar

A Persian desktop estimator grounded in official price books

A Windows estimation application built around packaged 1404 construction and roadwork price-book data, with rule-driven calculations and a Persian operator interface.

SYSTEM FLOW

Official price books
Rules & coefficients
Estimate calculation
Persian desktop UI

TECHNOLOGIES & DOMAIN

.NET
Windows Desktop
1404 Price Books
Rules Engine
Persian UI

EXPLORE ENGINEERING DOSSIER

ENGINEERING PROBLEM

Make estimates reproducible and inspectable while keeping reference data and calculation rules explicit.

ARCHITECTURAL APPROACH

Package source datasets with the application, separate rules from UI behavior and run deterministic regression checks.

VERIFIED MILESTONE / LIMITATION

Version 1.0.5 Windows release and a 576-test regression run passed. Optional regional factors remain a separately tracked scope.

PROJECT / 08

CAD PLOTTING AUTOMATION

PlotWise

Controlled plotting workflows for engineering DWG files

An AutoCAD plot-planning project intended to reduce manual print preparation and improve repeatability across drawing-based deliverables.

SYSTEM FLOW

DWG source
Plot planning rules
Controlled operations
Pilot validation

TECHNOLOGIES & DOMAIN

AutoCAD 2021
DWG
Plot Planning
QA
Desktop Automation

EXPLORE ENGINEERING DOSSIER

ENGINEERING PROBLEM

Translate drawing-specific plotting decisions into a repeatable, inspectable workflow rather than a fragile series of manual operations.

ARCHITECTURAL APPROACH

Break delivery into bounded acceptance stages and keep an explicit distinction between completed phases and blocked pilot work.

VERIFIED MILESTONE / LIMITATION

Multiple scoped implementation phases closed successfully. Plot-planning behavior continues through controlled pilot acceptance; no general-availability release is claimed.

IN DEVELOPMENT

Public engineering summaries only. Private source code, infrastructure identifiers, client models and operational secrets are intentionally excluded.

SYSTEMS ARCHITECTURE|MCP & CONTROL BOUNDARIES|

AI AGENTS AT THE INFRASTRUCTURE BOUNDARY

Architectural analysis of Model Context Protocol (MCP) integration with Linux infrastructure—focusing on least-privilege operations, credential isolation, and explicit control boundaries.

OPERATIONAL CONTROL FLOW & ACCESS BOUNDARIES/MCP INTEGRATION PATTERN

01OPERATOR INTENT
AI / MCP CLIENT
Agent receives an infrastructure task and formulates structured MCP tool invocation requests.
02CONTROL & SCHEMA LAYER
MCP SERVER BOUNDARY
InfraForge validates tool inputs against structured schemas and enforces defined operational scope.
03ISOLATION & VALIDATION
CREDENTIAL HANDLING
Server-specific SSH credentials and keys are validated for the requested operation, avoiding persistent exposure in model context.
04INFRASTRUCTURE ACCESS
LINUX TARGET INTERFACE
Restricted SSH sessions execute the requested task, maintaining clear boundaries between monitoring and administrative workflows.

01OPERATOR INTENT
AI / MCP CLIENT
Agent receives an infrastructure task and formulates structured MCP tool invocation requests.
02CONTROL & SCHEMA LAYER
MCP SERVER BOUNDARY
InfraForge validates tool inputs against structured schemas and enforces defined operational scope.
03ISOLATION & VALIDATION
CREDENTIAL HANDLING
Server-specific SSH credentials and keys are validated for the requested operation, avoiding persistent exposure in model context.
04INFRASTRUCTURE ACCESS
LINUX TARGET INTERFACE
Restricted SSH sessions execute the requested task, maintaining clear boundaries between monitoring and administrative workflows.

SECURITY & OPERATIONAL BOUNDARIES/DESIGN PRINCIPLES

Structured Tool Interface

EXECUTION CONTROL

Interactions rely on structured MCP tool contracts rather than treating unrestricted interactive shells as the default operating model.

Credential Hygiene & Isolation

ACCESS PROTECTION

SSH private keys and sensitive authentication material are treated as protected data and isolated from normal operational logs and agent prompts.

Monitoring & Administration Separation

LEAST PRIVILEGE

Read-only monitoring relies on restricted monitoring identities, while privileged administration requires separately validated and controlled access.

Controlled Telemetry & Log Handling

OBSERVABILITY

System metrics, service states, and journal outputs are handled with care to prevent sensitive configuration data from leaking into model context.

ARCHITECTURAL DESIGN DECISIONS/ENGINEERING JUDGMENT

Structured Tool Schemas vs. Direct Bash Execution

Allowing unrestricted command execution increases operational and injection risk. Enforcing structured tool schemas with explicit parameter constraints prioritizes predictability, auditability, and operational safety.

Per-Server Credential Validation vs. Centralized Agent Key Storage

Storing broad administrative keys in an open agent store creates a single point of failure. Implementing per-server credential validation and controlled enrollment helps contain the blast radius of operational actions.

05 / INTERACTIVE EXPERIENCE|BROWSER-ONLY SIMULATION

OPERATIONAL REASONING LAB

Explore how agentic requests translate into explicit operational boundaries, predictable system behavior, and safe AI-assisted infrastructure workflows.

SIMULATED INTERACTIVE DEMO

Browser-only demonstration. No live infrastructure connection, remote execution, application-level data request, or real server data is involved.

Select Scenario3 Scenarios Available

SCENARIO 01/STRUCTURED REASONING

DISCOVER INVENTORY

DISCOVERY

01 / REQUEST

Represent Linux infrastructure context as a structured inventory view.

02 / OPERATIONAL BOUNDARY

Remain within discovery and inventory scope. Do not treat unrestricted shell access as the default interaction model.

03 / EXPECTED SYSTEM BEHAVIOR

Represent infrastructure information as structured context that can be reviewed before any broader operational action is considered.

06 / CREDENTIALS & CONTACT|VERIFIED PROFESSIONAL RECORD

RESUME, CREDENTIALS & DIRECT CONTACT

A concise professional record combining verified credentials, education, and direct contact channels.

PROFESSIONAL RESUME

PDF / ENGLISH

Download the verified English professional CV used as a factual source for this portfolio.

DOWNLOAD RESUME

DIRECT CONTACT

Masoud Zeynali

Senior AI Engineer — Agents, MCP & Infrastructure

IT Manager | Network Infrastructure & Security Specialist

Tehran, Iran

zeynali@outlook.com

github.com/the-masoud

EMAIL MASOUD VIEW GITHUB

MICROSOFT CERTIFICATIONS

VIEW VERIFIED TRANSCRIPT

MCSE: Server InfrastructureMicrosoft Certified Solutions Expert · Microsoft
2012
MCSE: Cloud Platform and InfrastructureMicrosoft Certified Solutions Expert · Microsoft
2016

EDUCATION

Master of Business Administration (MBA)University of Tehran
IN PROGRESS
Associate Degree in Information Technology (IT)Karaj University

DIRECT CONTACT

Masoud Zeynali

Senior AI Engineer — Agents, MCP & Infrastructure

IT Manager | Network Infrastructure & Security Specialist

Tehran, Iran

zeynali@outlook.com

github.com/the-masoud

EMAIL MASOUD VIEW GITHUB

MASOUDZEYNALI

Explore my work

Featured projects

InfraForge

Ops

Probe

SewerPilot

DccSentry

EngiSentry

BaravardYar

PlotWise

ENGINEERING EVOLUTION & TECHNICAL GOVERNANCE

CAREER JOURNEY & LEADERSHIP PROGRESSION

Help Desk and Network Support Specialist

Network Manager

Deputy Head of Information Technology Department

TECHNOLOGY LANDSCAPE

INFRASTRUCTURE & PLATFORMS

NETWORKING & SECURITY

MESSAGING & COLLABORATION

WEB & CLOUD

ENDPOINT OPERATIONS

AI ENGINEERING, AGENTS & MCP

ENGINEERING IN PRACTICE

InfraForge

THE PROBLEM

SYSTEM INTENT

LEAST PRIVILEGE

CREDENTIAL HYGIENE

CONTROLLED ONBOARDING

AUTOMATION WITH GUARDRAILS

SERVER ONBOARDING

INVENTORY RECONCILIATION

SECURITY DESIGN REQUIREMENTS

MORE SYSTEMS. REAL ENGINEERING BOUNDARIES.

Ops

SYSTEM FLOW

TECHNOLOGIES & DOMAIN

ENGINEERING PROBLEM

ARCHITECTURAL APPROACH

VERIFIED MILESTONE / LIMITATION

Probe

SYSTEM FLOW

TECHNOLOGIES & DOMAIN

ENGINEERING PROBLEM

ARCHITECTURAL APPROACH

VERIFIED MILESTONE / LIMITATION

SewerPilot

SYSTEM FLOW

TECHNOLOGIES & DOMAIN

ENGINEERING PROBLEM

ARCHITECTURAL APPROACH

VERIFIED MILESTONE / LIMITATION

DccSentry

SYSTEM FLOW

TECHNOLOGIES & DOMAIN

ENGINEERING PROBLEM

ARCHITECTURAL APPROACH

VERIFIED MILESTONE / LIMITATION

EngiSentry

SYSTEM FLOW

TECHNOLOGIES & DOMAIN

ENGINEERING PROBLEM

ARCHITECTURAL APPROACH

VERIFIED MILESTONE / LIMITATION

BaravardYar

SYSTEM FLOW

TECHNOLOGIES & DOMAIN

ENGINEERING PROBLEM

ARCHITECTURAL APPROACH

VERIFIED MILESTONE / LIMITATION

PlotWise

SYSTEM FLOW

TECHNOLOGIES & DOMAIN

ENGINEERING PROBLEM

ARCHITECTURAL APPROACH

VERIFIED MILESTONE / LIMITATION

AI AGENTS AT THE INFRASTRUCTURE BOUNDARY

AI / MCP CLIENT

MCP SERVER BOUNDARY

MASOUD
ZEYNALI