What I can actually do.

Tenant setup, license management, exchange transport rules, shared mailboxes, and security baselines.

Azure resource management, RBAC, subscription billing, and serverless automation execution.

Directory synchronization, Conditional Access policies, MFA enforcement, and user onboarding/offboarding.

Device configuration profiles, compliance policies, Windows Autopilot, and on-prem to cloud server migrations.

Domain controller provisioning, FSMO role management, trusts, and failover clustering.

Enterprise security filtering, WMI targeting, desktop hardening baselines, and logon script policies.

Host provisioning, virtual switch networking, snapshot schedules, and VM replication architecture.

Ubuntu/RHEL daemon management, systemd units, SSH security, DNS zones, DHCP scopes, and VLANs.

Sensor fleet deployment across 1,100+ endpoints, incident investigation, and automated threat containment.

Custom policy monitors, automated silent patch deployments, and remote PowerShell self-healing scripts.

SLA policy automation, service board escalation workflows, and asset lifecycle tracking.

Dedicated Android kiosk provisioning, remote pipeline deployments, and mobile compliance locks.

Appliance deployment, local instant virtualization, automated screenshot boot verification, and cloud failovers.

Cloud-to-cloud Microsoft 365 mailbox/SharePoint backups, differential disk imaging, and immutable replication.

Full tabletop recovery simulations, hardware migrations, and strict RTO / RPO SLA verification.

Quarterly Service Delivery compliance reports, backup integrity scores, and client technical QBR presentations.

Mentoring L1 support engineers, shift scheduling, ticket queue management, and technical training.

Managing critical client escalations, leading major incident bridges, and authoring post-incident RCAs.

Consistently sustaining >90% CSAT while managing multi-client contractual SLA requirements.

Standardizing operational runbooks, client-specific SOP documentation, and self-service articles.

Building tool-calling agents and AI pipelines that take real actions: shell tasks, browser runs, document parsing, and scheduled jobs.

Shipping LLM features to production and tuning them for speed and cost: model choice, caching, rate limits, and token budgets.

System prompts, few-shot examples, and schema-bound outputs that stay on task, return valid JSON, and fail safely.

Connecting LLM providers to apps and services: keys and secrets, model and parameter settings, streaming, and fallbacks.

Automated REST API pipelines, asynchronous data extraction, and cross-platform OS scripting.

Bulk Active Directory user provisioning, silent registry modifications, and unattended software installers.

Shipping web apps, APIs and background workers with preview builds, environment secrets, and containerised services.

Next.js 15, React 19, Astro 5, Tailwind CSS v4, and automated end-to-end Playwright testing.