Senior DevOps Engineer · AI-native platform engineering
I’m Akhila Nair. I design cloud platforms, reliability systems, and AI-assisted operations for production environments where downtime is expensive and good decisions need evidence.
Based in Bangalore · Open to opportunities in Bangalore, Mumbai & Dubai
Selected work
My best work turns operational knowledge into systems teams can trust: evidence-backed checks, safer platform changes, and AI that reduces toil without removing human judgment.
Investigates operational issues, reviews Terraform changes, and—with explicit approval—can safely act through connected tools.
A reliability layer built from Kubernetes manifests, live alerts, and each service's own incident history.
Specialist agents assess security, observability, reliability, and cell health before a service goes live.
A version analyzer, node rotation skill, and cluster upgrade skill made a high-risk fleet change repeatable.
An AI-assisted incident review tool that turns scattered signals into a consistent first draft for human review.
How I work
Map incidents, risk, ownership, service signals, and the places where teams are forced to guess.
Turn expert judgment into checks, scorecards, upgrade paths, and observable workflows.
Let agents gather context and draft. Let engineers make the consequential call.
Experience
Oct 2024 - Present
May 2021 - Oct 2024
Jul 2020 - Apr 2021
Education M.S. Computer Engineering · University of Massachusetts Boston
Certifications AWS Solution Architect · Microsoft Azure Fundamentals
Core toolkit
AWS · Azure · Kubernetes · Docker · Helm · Karpenter
Terraform · GitHub Actions · CI/CD · Python · Bash
Prometheus · Victoria Metrics · Grafana · Coralogix · OpenSearch · New Relic · SLO/SLA design
LLMs · Agentic automation · Claude Skills · Subagent orchestration · Vector databases · AIOps
Multi-AZ DR · Regional DR · Production readiness · Platform scalability · Incident management
Building in public
What I learn from building at the edge of infrastructure and AI—published as working software and honest notes.
Open-source side quests
kubectl-gonogo Kubernetes release gateA kubectl plugin for GO/NO-GO release checks and HEALTHY/AT-RISK drift audits on live Kubernetes deployments.
aisplaining / AI Trace Local-first AI observabilityA zero-dependency Python tool that turns agent traces, tool retries, latency shifts, and cost into plain-English status notes instead of another wall of spans.
aistory Your AI week as a storyA weekly AI digest that reads leaderboards, arXiv, and public builder chatter, then turns it into a short story you can actually enjoy reading.
Beyond the systems
I’m most at home where production reality meets new ideas: a risky release needs a clear gate, a fleet upgrade needs a safer rhythm, or an incident needs context before the next decision.
I keep up with AI by building with it. Some experiments become internal platforms, some become open-source tools, and some become stories about what worked, what broke, and what humans still need to own.
Let’s talk
I’d love to hear about the problem.