Containers & orchestration
- Kubernetes
- Docker
- Helm
- RKE2
- K3s
- EKS
DevOps Engineer who keeps production boring (in the best way). I build resilient infrastructure on AWS, Azure, GCP and OCI - for teams in 10+ countries who'd rather ship features than fight fires.
The short version, a handful of facts, and a few numbers I'm proud of.
I'm a DevOps Engineer with 2+ years running production infrastructure across cloud and on-prem. I work mostly with Kubernetes, Terraform and GitOps - and I care about three things in roughly this order: it should be reliable, it should be predictable, and it shouldn't quietly drain the budget.
At Affinsys AI I look after the infrastructure powering AI-driven platforms used in 10+ countries. That's meant deploying Kubernetes clusters on AWS, Azure, GCP and OCI; cutting infra cost by ~65% through right-sizing and rearchitecting; and rebuilding observability so on-call engineers find out about issues ~40% faster.
My philosophy: the best infra is the kind nobody notices. Build systems that heal themselves and you spend less time firefighting, more time shipping. Off the clock you'll find me aquascaping, experimenting with recipes, riding my bike, or taking long walks - because a clear mind makes for better debugging.
The tools I reach for every day - grouped by what they actually do, not which conference they trended at.
Credentials I've earned - plus CKA and CKS, which I'm actively preparing for.
Microsoft
Amazon Web Services
The Linux Foundation · CNCF
Preparing for the hands-on CKA exam - cluster setup, networking, storage, security, scheduling and live troubleshooting under time pressure.
The Linux Foundation · CNCF
Preparing for the CKS exam - cluster hardening, supply-chain security, runtime protection, network policies and incident response in Kubernetes environments.
Where I've shipped, what I've shipped, and a few people kind enough to vouch for it.
Production-grade Kubernetes platform provisioned end-to-end with Terraform on AWS - multi-tenant RBAC, network policies, autoscaling node pools and a baked-in observability stack. Spinning up a fresh cluster is a single PR.
End-to-end pipeline that builds, scans (Trivy + SonarQube) and deploys via ArgoCD GitOps. Releases are version-controlled and revertible by a single Git revert - what used to be hours of manual work is now a merge button.
Reusable Terraform modules covering AWS, Azure, GCP and OCI - networking, Kubernetes, databases and object storage. Same workflow, same patterns, regardless of which cloud the customer landed on.
Full observability stack - Prometheus + Grafana for metrics, ELK for logs, Alertmanager for routing. Dashboards for cluster health, app performance and capacity planning, plus alerts that actually mean something at 3 AM.
I had the pleasure of directly managing Jayesh during our time together in our DevOps team and I can confidently say he was one of the most dedicated and growth-oriented juniors I have worked with. He approached every task with curiosity, responsibility, and a strong willingness to learn - actively looking for ways to improve our workflows and often coming forward with ideas that added real value to the team.
Having worked with Jayesh, I can confidently say his knack for problem solving, his ability to understand and work on systems is commendable. We worked together for multiple clients with both on-premise and cloud infrastructure needs and Jayesh was easy to work with - executing instructions and requests flawlessly.
Formal degree - the foundation under every cluster I've touched since.
Lovely Professional University · Jalandhar, Punjab
Whether it's a role, a project or just a good DevOps conversation - I'd love to hear from you.