About

Hey, I’m Khadirullah 👋
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DevOps & Cloud Engineer with 4+ years of professional IT experience and a B.Tech in Computer Science. I build CI/CD pipelines, manage cloud infrastructure on AWS, and automate deployments using Docker, Kubernetes, and Terraform. Recently built an AI-powered incident correlation tool that JOINs data across GitHub, Sentry, and Slack using cross-source SQL.

My Journey
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Hands-On IT Work
Where It Started
Assembling PCs, installing operating systems, configuring routers, optimizing WiFi networks, and setting up CCTV systems. I was the go-to person for anything hardware or networking related.
B.Tech in Computer Science
2022
Graduated from Andhra University. Explored full-stack development but realized I enjoyed the infrastructure side more than building web applications.
Engineer — Programmer, Network & System Admin
Jul 2019 – Nov 2023 · 4y 5m
Sole engineer managing end-to-end IT operations for a startup — system provisioning, network administration, hardware maintenance, and troubleshooting across the organization.
DevOps & Cloud Engineering
Dec 2023 – Present
Building reliable CI/CD pipelines with Jenkins, managing Kubernetes clusters, provisioning infrastructure as code with Terraform, and working towards AWS certifications.

Skills
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Cloud & Infrastructure

AWS — EC2, S3, VPC, ELB, IAM, Route 53, CloudFormation
Terraform — Infrastructure as Code
Ansible — Configuration Management & Playbooks

Containers & Orchestration

Docker — Dockerfiles, custom images, multi-stage builds, Docker Compose
Kubernetes — Deployments, Services, RBAC, Network Policies, Ingress, Security Contexts

CI/CD & Tooling

Jenkins — Pipelines with SonarQube, Trivy, Docker, and Kubernetes integration
GitHub Actions — Automated testing, publishing, and deployment
Git, Maven, npm, Bash scripting

Systems & Networking

Linux — Administration, systemd, networking, troubleshooting
DNS — SPF, DKIM, DMARC configuration
Networking — Router configuration, WiFi optimization, TCP/IP, iptables

🐍 Scripting & Automation

Python — API integration, automation scripts, Flask
SQL — Cross-source queries with Coral for incident correlation
Bash — System administration and deployment automation

🔒 Monitoring & Security

Prometheus — Metrics collection and alerting
Grafana — Dashboard visualization and monitoring
Sentry — Error tracking and incident monitoring
Slack — Incident alerting and team notifications
Coral SQL — Cross-source API queries (GitHub + Sentry + Slack)
Fernet AES encryption, SSL/TLS, IAM, Cloudflare

Projects
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🔍 DevOps Incident Investigator
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Hackathon: Pirates of the Coral-bean (WeMakeDevs, May 2026)

An AI-powered incident correlation tool that JOINs data from GitHub PRs, Sentry errors, and Slack messages using cross-source SQL via Coral — reducing incident triage from 15 minutes of tab-switching to a single unified view. Features a web dashboard with real-time incident timeline, Gemini AI root-cause analysis, one-click Slack alerting, natural-language-to-SQL queries, and encrypted token management.

Tech: Python, Flask, Coral SQL, Gemini 2.0 Flash, Docker, GitHub Actions, Slack API, Sentry API

khadirullah/devops-incident-investigator

🔍 AI-powered DevOps incident correlation using Coral SQL — queries GitHub, Sentry & Slack as database tables

Python

CI/CD Pipelines
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Built end-to-end Jenkins pipelines:

code commit → static analysis (SonarQube) → Docker build → vulnerability scanning (Trivy) → push to registry → deploy on Kubernetes with AWS ELB

Kubernetes Deployments
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Set up Kubernetes clusters with Deployments, Services, RBAC, Network Policies, Ingress controllers, and security contexts — on both local VMs and AWS.

Infrastructure as Code
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Provisioned AWS infrastructure using Terraform — VPCs, EC2 instances, load balancers, and security groups.

DiagView
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A lightweight interactive SVG/Mermaid diagram viewer with search, export, and deep linking. Published to npm with 169 unit tests and fully automated CI/CD.