Thirunavukkarasu T

DevOps / Infrastructure Engineer · Coimbatore, Tamil Nadu, India

I build, automate and troubleshoot infrastructure behind real-world applications.

Kubernetes Cloud Docker CI/CD Infrastructure Automation
View production work GitHub LinkedIn Download CV
SYSTEM STATUS
static display · not live monitoring
websiteonline
portfolioonline
deploymentautomated
availabilityopen to opportunities
02

Engineering journey

2017 – 2018
Hardware
Started out testing and assembling PCB boards at Versa Drives — hands-on with hardware before moving into IT.
2019 – 2021
Technical Support
Technical representative at Infres Methodex — supporting and troubleshooting office automation hardware and network-connected devices.
2022 – 2024
Networking / Infrastructure
Technical assistant in networks at PSG Groups — built and maintained networks (Wi-Fi, NVRs, DHCP, RADIUS) across 2,000+ systems, and started using Docker for internal apps.
2024 – Present
DevOps
DevOps Engineer at Dataclap Digital Ventures — CI/CD pipelines, containerized deployments, Kubernetes, and multi-cloud infrastructure across AWS, Azure and GCP.
2026
Cloud / Kubernetes / Automation
Deepening Kubernetes and automation work in production.
Now
MLOps exploration
Learning MLOps concepts and building sample pipelines locally, separate from production work.
03

What I build

infra

Infrastructure

Server and cloud environments set up and configured for real applications, not just labs.

$ systemctl status infrastructure
● configured
deploy

Deployments

Docker and Kubernetes-based deployment of applications, from first setup to ongoing maintenance.

$ kubectl rollout status
● deployed
automate

Automation

CI/CD pipelines with GitHub Actions and Jenkins that take code from commit to running service.

$ gh workflow run deploy.yml
● automated
debug

Troubleshooting

Diagnosing issues across networking, containers and cloud infrastructure when things break.

$ docker logs --tail 50
● maintained
04

Production systems

Infrastructure I've set up, deployed and maintained for real, running systems.

01

Rubricate

AI expert-evaluation / training platform

Infra + deployment
DockerKongCloud server
Live site ↗ View case study ↓
02

CVAT

Self-hosted annotation platform for computer-vision work

Self-hosting + Docker
DockerCVAT
Live site ↗ View case study ↓
03

sales.usedataclap.com

Application with GitHub-based CI/CD

Infra + CI/CD
GitHub ActionsDocker
Live site ↗ View case study ↓
04

KubeTrace

Kubernetes testing / SaaS platform

K8s infra support
KubernetesCloudSandbox infra
Live site ↗ View case study ↓
05

Case studies

01

Rubricate

AI expert-evaluation / training platform
rubricate.net ↗

context

Infrastructure created and supported for Rubricate.

what I worked on

  • Infrastructure setup
  • Application deployment
  • Kong API Gateway configuration
  • Routing / gateway configuration
  • Cloud / server infrastructure
  • Troubleshooting and maintenance

infrastructure / deployment

Application Kong API Gateway Application Services

stack

DockerKongCloud server
02

CVAT

Self-hosted annotation platform
cvat.usedataclap.com ↗

context

Self-hosted CVAT environment for annotation work.

what I worked on

  • Self-hosting CVAT
  • Infrastructure setup
  • Docker-based deployment
  • Configuration
  • Maintenance
  • Annotation workflow support

infrastructure / deployment

Cloud / Server Docker CVAT Annotation

stack

DockerCVAT
03

sales.usedataclap.com

Application with GitHub-based CI/CD
sales.usedataclap.com ↗

context

Infrastructure setup with GitHub-based CI/CD.

what I worked on

  • Infrastructure setup
  • GitHub-based CI/CD
  • Deployment automation
  • Application deployment

infrastructure / deployment

Developer GitHub GitHub Actions Build / Deploy Infrastructure sales.usedataclap.com

stack

GitHub ActionsDocker
04

KubeTrace

Kubernetes testing / SaaS platform
kubetrace.net ↗

context

Major SaaS Kubernetes testing platform. I support its infrastructure — I did not build or own the entire platform.

my role

DevOps / Infrastructure Support

what I worked on

  • SaaS infrastructure support
  • Kubernetes deployments
  • Kubernetes troubleshooting
  • Sandbox infrastructure support
  • Development / testing environment support
  • Cloud / Kubernetes environments

infrastructure / deployment

Cloud Kubernetes Sandbox Infrastructure KubeTrace

stack

KubernetesCloudDocker
06

Toolbox

cloud

AWSAzureGCPVultrHetznerContabo

containers

DockerKubernetes

ci/cd

GitHub ActionsJenkins

automation

AnsibleTerraform

networking / proxy

NginxKongDHCP / RADIUS

version control

GitGitHub
07

Currently exploring

production experience vs. active learning — kept separate on purpose

LEARNING / PRACTICE · NOT PRODUCTION EXPERIENCE

MLOps

Currently experimenting with MLOps workflows locally through sample projects, including an image-captioning pipeline, to understand the complete workflow from data preparation and pipelines through model training, serving and monitoring.

Data Processing Training Model Serving Monitoring