DEVOPS + AI / SMARTER INFRASTRUCTURE

I build reliable infrastructure and smarter operations.

DevOps / Platform Engineer · AWS · Kubernetes & OpenShift · Automation · AI for Operations

I help engineering teams improve deployment reliability, troubleshoot cloud-native systems, and turn repetitive operations into automation—with AI used thoughtfully where it adds value.

AWS & CloudKubernetes / OpenShiftCI/CD & ObservabilityAI-assisted Ops

Open to full-time roles, contracts and scoped freelance projects

ops-console / live-demo

$ kubectl get pods -A

● api-service Running

● payments Running

● checkout Investigating

$ sre-copilot analyze --sample

✓ Evidence collected

✓ Next steps prepared

⌘Cloud-nativeOperate with confidence
✳AI-assisted SREHuman-approved actions
⌘Production-mindedEnterprise DevOps experience
⌁Automation firstReduce repetitive toil
◈Evidence-ledDocument decisions and trade-offs
↗Business focusedReliable, scalable delivery

FEATURED PROJECTS

Practical tools. Real engineering thinking.

Independent portfolio projects using safe sample data. Each project will include source code, setup instructions, tests and design decisions.

01 — 03
PROJECT 02Platform engineering

Self-service deployment platform

GitHub Actions · Docker · Terraform · Kubernetes

A reproducible delivery path with CI checks, image build, infrastructure-as-code patterns, health checks and a rollback plan.

Commit→Test→Build→Deploy
  • Policy checks before deployment
  • Health-gated release and rollback notes
  • Architecture and cost assumptions documented
PROJECT 03Startup value

Cloud cost & reliability advisor

AWS concepts · Python · FinOps · AI-ready

A sample-data analyzer that highlights potential idle resources, missing safeguards and prioritized reliability improvements.

Sample resources reviewed24
Recommendations06
Potential savingsEstimate only

Illustrative UI only—no live AWS account is connected and no savings are claimed.

INTERACTIVE LAB · SYNTHETIC DATA

AI SRE Copilot: incident triage simulator

Choose a simulated incident to see a rule-based analysis, evidence and recommended next steps. This demo runs in your browser; it does not call an AI API or connect to production systems.

Local demo

Do not enter credentials, customer data or confidential logs.

Investigation briefRULE-BASED SAMPLE

Select an incident and run the analysis to generate a structured triage brief.

CASE STUDIES

Engineering work, explained with evidence.

Selected themes from my professional experience. Confidential production details are intentionally excluded.

⌁

Observability & alert noise

Prometheus rules, Alertmanager routing, Grafana dashboards and Python webhook automation.

Reported outcomes to validate before publishing: lower notification volume and faster detection.

Discuss the approach →
◈

OpenShift & Kubernetes operations

Cluster health, workload troubleshooting, RBAC, secrets, rollout checks and operational runbooks.

Focus: safer triage, repeatable procedures and service reliability.

Discuss the approach →
⌘

Secrets management automation

Python automation patterns and AWS Secrets Manager for controlled secrets workflows.

Focus: reducing manual steps and improving consistency without exposing secrets.

Discuss the approach →
↗

CI/CD & deployment reliability

Pipeline checks, rollout verification, troubleshooting and clear recovery procedures.

Focus: repeatable releases and faster diagnosis of failed deployments.

Discuss the approach →

Portfolio integrity: Add exact before/after metrics only when you can substantiate them and are permitted to disclose them. Separate personal demos from work performed for an employer.

HOW I CAN HELP

Focused services for lean engineering teams.

Start with a clearly scoped assessment or prototype. Deliverables and access boundaries are agreed before work begins.

01

CI/CD pipeline review

Findings report, prioritized improvements, test gates and release-safety recommendations.

02

Kubernetes troubleshooting

Diagnostic notes, evidence-based root-cause hypotheses and a remediation checklist.

03

Monitoring & alerting

Starter dashboards, alert rules, notification routing and actionable runbooks.

04

AWS / Terraform automation

Small reusable modules, setup documentation, validation tests and cost assumptions.

05

AI-assisted DevOps prototype

Safe log summarization, incident-report drafting or pipeline-failure explanation with human review.

ABOUT ME

Curious engineer. Practical builder.

I'm a DevOps / Platform Engineer with nearly five years of experience across AWS, OpenShift/Kubernetes, CI/CD, monitoring and automation in enterprise environments.

I enjoy understanding failure modes, improving operational workflows and building tools that help engineers make better decisions. I'm now extending that foundation with practical AI-assisted operations and reusable platform engineering projects.

TECH TOOLKIT

Cloud & platform

AWSOpenShiftKubernetesDockerHelm

Automation & delivery

TerraformJenkinsGitHub ActionsAnsiblePythonBash

Observability & systems

PrometheusGrafanaAlertmanagerSplunkLinuxGit

Skill labels describe areas of experience; depth varies by tool. Project READMEs will specify what is implemented hands-on.

LET'S BUILD SOMETHING USEFUL

Have a platform challenge or role in mind?

I'm open to DevOps / Platform Engineering roles, contracts and scoped freelance engagements. Chennai and remote India are preferred; open to other locations for the right opportunity.

Email me ↗

lekhaconst.1@gmail.com