P1 UPTIME SCORE 000000 LV 1-1

SAROJ NAYAK

SITE RELIABILITY ENGINEER // FORWARD DEPLOYED ENGINEER

Site Reliability Engineer & Forward Deployed Engineer with 9+ years building AIOps, MLOps and Agentic AI — LLM-powered autonomous incident response, self-healing infrastructure and RAG applications on Kubernetes and multi-cloud (AWS, GCP, Azure).

saroj@sre -- agentic-incident-response -- zsh
● incident-drill.live agents.orchestrator
saroj@sre:~/ir$
YOUR TURN

You're on-call for a $2B/day payment system. Three SEV-1 incidents will hit. For each, pick DEPLOY AI AGENTS (what I automate) or HANDLE MANUALLY — then watch revenue, uptime, MTTR and engineer-hours react.

60-second drill · then scroll to see what I build
▼ SCROLL TO PLAY THROUGH MY CAREER ▼
NOW SEEKING SRE / Platform / Forward Deployed Engineer roles CONNECT >
LEVEL 1 // AROE - AI OPS ENGINE
BOSS: SYSTEM RISK & DOWNTIME
HP 100%
MISSION BRIEFING - AROE

AROE - AI Reliability & Operations Engine. A unified AIOps command center I built: it watches every service, predicts risk before it bites, and auto-remediates - AI predictive analytics, unified monitoring, dependency mapping, an LLM chatbot, log management and one-click remediation, all behind a live risk score.

AI Predictive AnalyticsUnified MonitoringDependency MapAuto-RemediationLLM ChatbotLog Management
System uptime99.68%
Overall risk score5 / 100 (LOW)
Services monitored5 (4 healthy)
Model confidenceHIGH
+ AI Engine active - logs processed, alerts triaged, incidents auto-resolved in real time
LEVEL 2 // THE STACK - WORLD MAP
AGENTIC AI
LLM Orchestration / Multi-Agent / RAG / Vector DB
ACTIVE RESEARCH
GENAI / MLOPS
Model Monitoring / Drift / Pipelines / Azure AI
OPERATIONAL
CLOUD
AWS / GCP / Azure
OPERATIONAL
KUBERNETES
EKS / Docker / Helm
OPERATIONAL
OBSERVABILITY
Prometheus / Grafana / Datadog / Splunk
OPERATIONAL
CI / CD
Jenkins / ArgoCD / GH Actions / Terraform
OPERATIONAL
DATA
MySQL / PostgreSQL / Redis
OPERATIONAL
SECURITY
Vault / Trivy / SOC2
OPERATIONAL
LEVEL 3 // SKILL TREE
* AIOPS / MLOPS / AGENTIC AI
Agentic AI
LLM Orchestration
RAG Pipelines
Predictive Anomaly Detection
* SRE & RELIABILITY
SLO / SLI / Error Budgets
Incident & On-Call
Chaos Engineering
RCA / Postmortems
* CLOUD & IaC
AWS / EKS
Kubernetes
Terraform / GitOps
ArgoCD / Jenkins
* OBSERVABILITY & CODE
Prometheus / Grafana
Datadog / Splunk / ELK
Python / Bash
LEVEL 4 // HIGH SCORES - CAREER
1UP
SITE RELIABILITY ENGINEER
Wipro / 2024-presentCURRENT
99.9% uptime / $2B+ per day / MTTR -40%
2P
PRINCIPAL SRE
Accion Labs / 2023
98% first-contact resolution / escalations -40%
3P
SPECIALIST - INFRA & OPS
Merck / 2017-2019
availability 94% -> 99.2% / tickets -30%
4P
SOFTWARE ENGINEER - L1/L2
PS Networks / 2014-2017
99.5% SLA / toil -80% / MTTR -40%
||
RESPAWN - UPSKILL
Self-directed / 2019-2022
AI/ML + Product + AWS certs earned
LEVEL 5 // ACHIEVEMENTS UNLOCKED
GH-300 GitHub Copilot
UNLOCKED TODAY
AWS AI Practitioner
ACTIVE
AWS Cloud Practitioner
ACTIVE
ITIL Foundation
ACTIVE
Executive PhD - AI/ML
IN PROGRESS
B.Tech - Electronics
KRUPAJAL 2007-11
AI-103 Azure AI Engineer
AB-100 Agentic AI Architect
LEVEL 6 // PROOF - SHOW THE CODE
ENTERPRISE RAG CHAT ENGINE
Capstone / self-directed

End-to-end Retrieval-Augmented Generation chat engine for Banking and E-commerce: document ingestion, embeddings, vector search, LLM orchestration and a conversational UI, deployed with CI/CD.

PythonRAGVector DBAzure AICI/CD
> VIEW ON GITHUB
AGENTIC INCIDENT RESPONSE
Active research

Multi-agent LLM system that detects anomalies, runs RCA, executes runbooks and triggers self-healing on Kubernetes + Prometheus - the system dramatised in the boot screen above.

LLM OrchestrationMulti-AgentKubernetesPrometheus
> IN DEVELOPMENT
CONTINUE? // INSERT COIN
READY PLAYER TWO?

Building autonomous, self-healing systems. Open to Forward Deployed / SRE roles. Drop a coin.

(C) 2026 SAROJ NAYAK - THANKS FOR PLAYING