Production-ready Kubernetes
Take your app from "it runs on a VM" to a cluster you can trust.
- Helm charts, autoscaling, probes and limits
- CI/CD from GitHub Actions to cluster
- Dashboards and a written runbook
Platform & reliability engineer. Previously built cluster infrastructure at Oracle. B.Tech + MS by Research from IIIT Hyderabad.
For startups and small teams who need production infrastructure done properly, without hiring a full-time platform team yet.
Take your app from "it runs on a VM" to a cluster you can trust.
Find out what will break before your users do.
Alerts that page you for real problems, not noise.
Looking for a full-time or long-term contract engineer instead? I'm open to that too.
Owned controller logic for a distributed Kubernetes platform, with guaranteed mutual exclusion across concurrent replicas. Cut scale-up latency by 21 seconds. Shipped a FIPS 140-2 DNS service with zero-downtime cutover. On-call and postmortems with SRE teams.
Designed, deployed and maintained a production app on DigitalOcean: JWT auth with RBAC, idempotent billing with tax logic, cron-driven automation, and race-free sequential IDs.
Containerized microservices, ran them on Kubernetes, and wired metrics into Oracle Analytics Cloud.
Built a custom schema component for TFX-Addons, with code review in a distributed open-source team.
Ingestion is decoupled from delivery, so a slow customer endpoint never slows down the sender.
Gateway + async worker over Redis, PostgreSQL, Kubernetes with autoscaling, Prometheus metrics, and GitHub Actions → GHCR → cluster deploys.
135 req/s at 0% errors (k6, 50 VUs, 60s). Client ack under 5ms. Cache-aside lookups from 22ms to 1.2ms on hits.
AWS with EKS + Terraform, deliberate failure injection with written postmortems, then Vault, ArgoCD and mTLS.
Freelance projects, long-term contracts, or full-time remote roles. I usually reply within two working days.