Systems Engineer Windows, Intune, SCCM, Azure AD Security

Rama Krishna Kakarla

+1-732-***-**** ************@*****.*** linkedin.com/in/ramakrishna Texas SUMMARY

Systems Engineer with 4+ years supporting and securing enterprise Windows environments across hybrid on-prem and cloud. Strong in Windows Server, Active Directory, GPO, and endpoint management with Intune/SCCM, focused on automation, patching, compliance, and reliability. Managed 300+ endpoints with Intune + Autopilot and strengthened identity security using Azure AD Conditional Access. Skilled in PowerShell, core networking (DNS/DHCP/TCP/IP/VPN), and virtualization (VMware, Nutanix AHV) with 99.9% uptime; AZ-104 certified.

EDUCATION

Wilmington University Delaware, US

M.S. in Information System Technology May 2025

Jawaharlal Nehru Technological University Kakinada, IN B.S. in Computer Science Sep 2022

TECHNICAL SKILLS

Operating Systems: Windows Server (2012/2016/2019), Windows 10/11. Endpoint & Patch Management: Microsoft Intune (MEM), Windows Autopilot, SCCM/MECM, WSUS, MDT, OSD Task Sequences, PXE Boot, Group Policy (GPO) deployment. Virtualization & Cloud: VMware vSphere/ESXi, Nutanix AHV, Prism Central, Microsoft Azure (Azure AD/Entra ID), Azure Virtual Desktop (AVD)

Application Packaging & Virtualization: MSI/MST, InstallShield, AdminStudio, Microsoft App-V, VMware ThinApp. Scripting & Automation: PowerShell, VBScript

Monitoring & Support: HP SIM, Incident Response, RCA Documentation Ticketing Systems: ServiceNow, Jira

EXPERIENCE

System Engineer - Intune/Autopilot — SCCM/MDT Sep2025 - Current UST Global Virginia, US

• Delivered end-user computing support for Windows 10/11 (login, printing, VPN, performance), resolving complex issues including BitLocker, GPO, profile corruption/temporary profiles, and drive mappings while meeting SLA targets.

• Designed and deployed standardized Windows images and OSD using SCCM/MECM, MDT, and Intune Autopilot; built Task Sequences (driver injection, custom scripts) and troubleshot PXE boot and task sequence failures.

• Managed Intune configuration profiles and enrollment (Autopilot profiles, Wi-Fi/VPN/email/certificates), plus endpoint controls like local admin rights and Windows Hello for Business to support secure, zero-touch provisioning.

• Automated support and operations using PowerShell (common fixes, profile cleanup, health checks, reporting), reducing ticket volume by 40% and improving troubleshooting consistency.

• Administered Azure Virtual Desktop (AVD) including host pools, session hosts, and app groups; deployed Windows 10/11 multi-session images via Azure Shared Image Gallery and implemented FSLogix with Azure Files/Azure NetApp Files for persistent profiles.

• Supported virtual infrastructure and monitoring: managed VMware clusters/VDI, addressed DRS/resource issues, and planned/implemented vRealize Operations (vROps) with upgrades (6.6 6.7/7.5/8.0); configured role-based administration in SCCM.

• Strengthened security posture through patching/monitoring, endpoint protection (SCCM Endpoint Protection, malware remediation/reporting), vulnerability remediation, and SSL certificate management (CSR/CA, IIS web server administration); provided on-call support for staging/production and supported AirWatch MDM, with exposure to AWS/Azure architecture/optimization.

System Engineer - SCCM/Intune Feb 2024 - Aug 2025

Sirce Virginia, US

• Manage and monitor 180+ Windows servers and 60+ VMware virtual machines, maintaining 99.9% uptime across Production/Test/DR environments..

• Execute monthly OS and security patching using SCCM/MECM, Prism Central, and Nutanix automation, sustaining 95%+ patch compliance and reducing exposure to critical vulnerabilities.

• Lead Active Directory administration for 500+ users (OU design, GPO management, access provisioning), consistently meeting a 24-hour SLA.

• Administer Nutanix AHV clusters (upgrades, automated patching, stability improvements), reducing manual operational effort by 30%.

• Automate operational tasks using PowerShell (health checks, troubleshooting, reporting), reducing MTTR by 30% and improving support efficiency.

• Support change management activities (change requests, maintenance windows, risk/impact validation, implementation documentation) and deliver RCA for recurring issues to prevent repeat incidents.

• Provision and support 300+ endpoints using Microsoft Intune + Windows Autopilot and SCCM/Intune app deployments, improving deployment success by 25% and ensuring standardized policy enforcement. System Engineer – Application Packaging/SCCM Sep 2021 – Jul 2023 Value Labs Hyderabad, IN

• Packaged and deployed over 120+ third-party and in-house applications for Windows 7/10 (32/64-bit) using AdminStudio and InstallShield, ensuring consistency, compliance, and reducing manual deployment errors by 40%.

• Designed and tested MSI/MST packages with silent installation capabilities, reducing deployment times from 3 days to under 1 day for critical software rollouts.

• Created and managed VMware-based test environments to simulate real-user setups for parallel validation of applications, enhancing quality assurance and preventing post-deployment conflicts.

• Sequenced and deployed applications using Microsoft App-V and VMware ThinApp for virtualized delivery, supporting roaming profiles and improving user access across devices.

• Troubleshot application and SCCM deployment failures by analyzing logs and scripting remediation steps, achieving a 95%+ deployment success rate across geographically distributed endpoints.

• Converted legacy MSI-based setups to EXE formats using Application Sync to support new deployment workflows and streamline updates for remote teams.

• Collaborated with cross-functional teams during a company-wide Windows OS migration, leading repackaging efforts to ensure all critical applications were compatible with Windows 10 rollout schedules. PROJECTS

Credit Card Fraud Detection Jan 2021 – May 2021

Machine Learning Project Random Forest, Logistic Regression, SVM

• Built and tuned ML models (Random Forest, Logistic Regression, SVM) on an imbalanced Kaggle dataset, achieving 92% precision, 88% F1-score, and 98.2% ROC-AUC in credit card fraud detection.

• Engineered features and applied SMOTE, normalization, and stratified K-Fold CV to improve accuracy and reduce false positives.

• Presented research findings demonstrating the use of AI tools in real-world financial security applications. CERTIFICATIONS

• Microsoft Certified: Azure Administrator Associate (AZ-104)

• Microsoft Certified Technology Specialist (MCTS)

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