Surya Mutreja
IT operations engineer building the full stack from endpoint engineering to identity security to SRE & platform reliability to AI infrastructure. Four control planes, each one real — measured against live systems and recorded experiments.
Background
Endpoint and IT service operations, moving toward AI infrastructure and identity systems.
I'm an Endpoint Support Engineer at Zensar Technologies, managing enterprise device provisioning, imaging, and the full hardware lifecycle for a Windows 10/11 environment. My day-to-day is ServiceNow ticket queues, endpoint troubleshooting, and keeping deployments on schedule.
Before this, I was an IT Lead Analyst at Chico State, handling 300+ weekly ServiceNow incidents across endpoint, application, access, and network issues. That's where I learned how IT operations actually work at scale — triage, escalation, and documentation.
I'm building toward AI infrastructure operations — the physical and systems layer that AI depends on. GPU clusters, model deployment pipelines, inference monitoring, and the identity systems that secure them. The tools on this site are part of that move.
Technical Skills
Four areas: endpoint operations, identity systems, IT service management, and AI infrastructure tooling.
Work History
Three roles — from data and reporting, to frontline IT support, to enterprise endpoint operations.
- Manage enterprise endpoint provisioning, reprovisioning, imaging, reimaging, and device configuration for a large-scale Windows 10/11 environment.
- Troubleshoot provisioning failures, imaging issues, hardware faults, application errors, and connectivity problems — documenting all resolution steps in ServiceNow.
- Coordinate device lifecycle operations including preparation, configuration, asset tracking, shipping coordination, and deployment readiness.
- Maintain support, logistics, deployment, and escalation documentation to improve operational visibility and team handoffs.
- Managed 300+ ServiceNow incidents and service requests weekly with accurate categorization, prioritization, documentation, and resolution ownership.
- Provided frontline and escalated support for Windows 10/11, macOS, endpoint, application, account, access, and network connectivity issues.
- Collaborated with technical teams to triage recurring issues, coordinate handoffs, and resolve user-impacting endpoint and connectivity problems.
- Built reports and dashboards tracking HR metrics — transaction activity, user behavior, and associate engagement.
- Collected and analyzed data from payment and customer service systems, producing ad hoc reports for leadership.
- Developed data-driven tools to monitor associate performance and service quality, supporting process improvements.
Infrastructure Control Planes
Four functional control planes that trace one path: endpoint engineering → identity security → SRE & platform reliability → AI infrastructure. Each one runs against real systems, with metrics tagged LIVE / MEASURED / SIMULATED.
Fleet management and self-healing control plane for 5,003 Windows endpoints. Unifies Intune, Microsoft Graph, and ServiceNow into one automation surface that detects compliance drift across 4 domains and remediates it — automated MTTR 1.5 min vs manual 6.2 min (75.9% improvement, measured).
Zero-Trust identity governance platform over 1,510 identities. Multi-factor risk engine across 8 risk dimensions (647 flagged), automated access reviews (943 across 5 cycles), and a full joiner-mover-leaver lifecycle (1,855 events). Turns IAM from a checklist into a control plane.
Autonomous SRE and incident-response platform over a 6-service Kubernetes stack. OpenTelemetry, Prometheus, and Loki feed a detection-and-remediation engine that handled 120 incidents and 20 chaos events — automated MTTD 2.59 min / MTTR 6.62 min vs manual 12.5 / 18.3 min.
AI inference and GPU operations control plane over 32 GPUs (1 lab RTX 4090 + 31 simulated). Serves 4 models on vLLM/TGI, processes 10,000 requests in 24h with p50/p95/p99 + TTFT measured from real records, and runs k6 load tests (10/50/100 users) plus 4 injected failure scenarios.
Education
B.S. Management Information Systems — California State University, Chico.
Python, REST API concepts, Git and version control, AI/LLM concepts, prompt engineering, RAG architecture, AWS cloud fundamentals, data privacy and secure system workflows.
Get in touch
Open to AI infrastructure, data center operations, NOC, and IAM roles. Relocation to DMV at own expense.